91 datasets found
  1. Q

    Data for: Improving Abortion Underreporting in the United States: A...

    • data.qdr.syr.edu
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    Updated Mar 17, 2022
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    Jennifer Mueller; Jennifer Mueller; Marielle Kirstein; Marielle Kirstein; Alicia VandeVusse; Alicia VandeVusse; Laura Lindberg; Laura Lindberg (2022). Data for: Improving Abortion Underreporting in the United States: A Cognitive Interview Study [Dataset]. http://doi.org/10.5064/F6V5VGX3
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    pdf(226100), txt(9537), pdf(891986), xlsx(18329), txt(0), pdf(129587), pdf(627327), pdf(211143), pdf(227696), pdf(265966), pdf(203483), pdf(101368)Available download formats
    Dataset updated
    Mar 17, 2022
    Dataset provided by
    Qualitative Data Repository
    Authors
    Jennifer Mueller; Jennifer Mueller; Marielle Kirstein; Marielle Kirstein; Alicia VandeVusse; Alicia VandeVusse; Laura Lindberg; Laura Lindberg
    License

    https://qdr.syr.edu/policies/qdr-restricted-access-conditionshttps://qdr.syr.edu/policies/qdr-restricted-access-conditions

    Area covered
    United States, United States
    Dataset funded by
    Eunice Kennedy Shriver National Institute Of Child Health & Human Development of the National Institutes of Health
    Description

    Project Summary: The purpose of this study was to inform experimental testing of new approaches for measuring abortion in surveys in the United States, by improving our understanding of how women interpret and respond to survey items asking them to report their abortion history. Using cognitive interviews, we developed, tested, and evaluated various question wordings, as well as conducted card sort and vignette activities to further discern how participants’ understand and classify abortion. We aimed to test questions to clarify which experiences to report as an abortion; reduce the stigma and sensitivity of abortion; reduce the sense of intrusiveness of asking about abortion; or increase the motivation to report. Question wordings were newly developed or modified versions of existing survey questions. Results from the cognitive interviews were used to develop an experimental survey to further explore how to improve the accuracy of abortion reporting. Research reported in this publication was supported by the Eunice Kennedy Shriver National Institute Of Child Health & Human Development of the National Institutes of Health under Award Number R01HD084473. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Data Overview: We conducted cognitive interviews with 64 cisgender women in suburban Wisconsin (N=35) in January 2020 and urban New Jersey (N=29) in February 2020. We selected the two study states because of differences in abortion climate and to avoid geographically-specific findings. Participants were recruited to participate in an interview on sexual and reproductive health (SRH) by a third-party recruiting agency. Eligible participants were between the ages of 18 and 49, assigned female at birth, identified as women, spoke English, lived in Wisconsin or New Jersey, and had ever had penile-vaginal sex. Additionally, respondents were asked if they ever had an abortion during the screening process. The decision to include women with various abortion histories was deliberate. We sought to include respondents who may not have disclosed their abortion during the screening process and wanted feedback from all women of reproductive age, as that is the target sample of the experimental survey. We included feedback from both groups of respondents and highlighted their differences when applicable. The study was reviewed and approved by the Guttmacher Institute’s Institutional Review Board. Interviews lasted about 60-90 minutes and were conducted in private rooms at conference and market research locations by two members of the research team (AV and JM; see Interviewer Identities document). Interviews were audio recorded. We obtained verbal consent from all study participants, and they completed a short sociodemographic questionnaire at the end of the interview. Participants received $150 cash as a token of appreciation for their time. Sixteen respondents demonstrated accurate understanding of data sharing and consented to having their data be publicly shared; therefore, these are the only transcripts made available here. Data Collection Overview: The cognitive interview included several sections. In the first section, we asked participants to respond to and provide feedback on various versions of questions about their abortion history. In this section, they disclosed their abortion history directly to the interviewer. In the second section, we asked participants to provide feedback on several different introductory text options that might come before a question about their abortion history. In the third section, we asked participants more general questions about how they would prefer to be asked about whether they’d had an abortion on a survey, as well as their definition of abortion and why some people may choose not to disclose their abortion history. In sections 4 and 5, we conducted a card sort activity and went through a series of vignettes to further discern participants’ understanding and classification of abortion. Each interview was digitally audio recorded (.mp3). The audio recordings were uploaded from the devices to a folder on the Guttmacher network. The audio recordings will be uploaded to the secure, password-protected servers of the professional transcription agency, Datalyst LLC., for transcription. The audio recordings were deleted from the Datalyst servers upon completion of transcription and certification by Guttmacher staff that transcription was accurate/complete. Transcripts were cleaned by one of two team members; during this process, they also removed any potentially identifying information. Audio recordings were deleted from the devices at the end of data collection. The interviewer electronically wrote up immediate thoughts and impressions post-interview in memos (.docx) using a predetermined memo shell that mirrored the major sections of the interview guide. At the end...

  2. Q

    Data from: A qualitative study on the experiences and perspectives of public...

    • data.qdr.syr.edu
    pdf, txt
    Updated Feb 13, 2018
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    Rangarirai Matima; Rangarirai Matima; Katherine Murphy; Naomi S. Levitt; Rhonda BeLue; Tolu Oni; Katherine Murphy; Naomi S. Levitt; Rhonda BeLue; Tolu Oni (2018). A qualitative study on the experiences and perspectives of public sector patients in Cape Town in managing the workload of demands of HIV and type 2 diabetes multimorbidity [Dataset]. http://doi.org/10.5064/F6CE5MRF
    Explore at:
    pdf(180291), pdf(223577), pdf(95158), pdf(263958), pdf(109132), pdf(279434), pdf(277105), pdf(201943), pdf(226330), pdf(203446), txt(3027), pdf(268920), pdf(198608), pdf(209042), pdf(218292), pdf(192135), pdf(360190), pdf(206291), pdf(229704)Available download formats
    Dataset updated
    Feb 13, 2018
    Dataset provided by
    Qualitative Data Repository
    Authors
    Rangarirai Matima; Rangarirai Matima; Katherine Murphy; Naomi S. Levitt; Rhonda BeLue; Tolu Oni; Katherine Murphy; Naomi S. Levitt; Rhonda BeLue; Tolu Oni
    License

    https://qdr.syr.edu/policies/qdr-standard-access-conditionshttps://qdr.syr.edu/policies/qdr-standard-access-conditions

    Time period covered
    Jan 1, 2012 - Dec 31, 2016
    Area covered
    Cape Town
    Dataset funded by
    Pan-Institution Network for Global Health (PINGH)
    Description

    Current South African health policy for chronic disease management proposes integration of chronic services for better outcomes for chronic conditions; that is based on the Integrated Chronic Disease Model (ICDM) [1]. The ICDM argues that optimal clinical outcomes for people living with single or multi-morbid conditions can be achieved through primary healthcare (PHC) re-organisation involving improved clinical management support, clinical practice guidelines for integrated care and the use of community healthcare workers (CHWs) to assist patients with self-management. However, scant data exist on how patients with chronic multimorbidities currently experience the (re)-organisation of health services and what their perceived needs are in order to enhance the management of their conditions. To explore this phenomenon, HIV and type two diabetes (T2D) multimorbidity was used as an illustration of communicable disease and non-communicable disease convergence in the South African health system. This is due to the complexities faced in effective management of the conditions by both healthcare workers and patients [2, 3, 4] and in the Western Cape Province, are ranked to be the top two causes of mortality [5]. Data Collection Purposive sampling was done as participants were drawn from two, public sector clinics - Ubuntu clinic that provides HIV and TB services; and Site B community health clinic provides primary health care for all other diseases, including type two diabetes. These clinics are situated in Khayelitsha, a peri-urban, largely informal township of predominantly black, Xhosa speaking South Africans in Cape Town, Western Cape Province. Inclusion criteria for patient-participants included: having both HIV and T2D multimorbidity; having initiated antiretroviral therapy (ART) and also be on treatment for T2D; be between 35 -65 years old; capable and willing to provide informed consent, and be interviewed in simple English. The inclusion criteria for healthcare worker participants included professionals working with adult chronic patients; willing to communicate in simple English and capable and willing to provide informed consent. Ten patient-participants (five male and five female) and six healthcare workers that included two doctors, two clinical nurse practitioners (CNPs) and two HIV counsellors were recruited. All healthcare workers were from Site B community health clinic, except one CNP from Ubuntu clinic [HIV Clinic]. A mix of phenomenology and grounded theory underpinned the study. Participants took part in in-depth, one-on-one, semi structured interviews that drew subjective lived experiences and perspectives of managing HIV and T2D multimorbidity. Interviews were guided by two separate semi-structured questionnaires - one for patient-participants and another one for healthcare workers. The questionnaires were based on the themes of Shippee’s Complex Cumulative Model (CCM) that explored the concepts of "patient workload" and "patient capacity"[6]. Patient-participants were asked what they had to do to care for their health, the challenges they faced in meeting these demands and the factors that helped them. Healthcare workers were asked how they provided care for patients living with HIV and type two diabetes, the challenges experienced in these cases of multimorbidity; and how they assisted in developing patient capacity. Each interview was face to face, held in confidence in a private room, audio taped and lasted for approximately an hour. A translator was present in each patient-participant interview to provide translation assistance when the participant needed to ask or answer questions in the vernacular. Interviews' transcriptions were done verbatim and in English. Data Analysis NVvivo computer software was used to manage the data. Data analysis was primarily done by RM with assistance from a qualitative research expert (KM). Further discussions with the qualitative research expert enabled RM to be reflexive of assumptions and biases that may have influenced the research process. Thematic content analysis was applied to the transcripts [7, 8]. This involves the researcher becoming familiar with the data through reading the data, reflecting, coding and refining codes. Deductive codes from the CCM were used; together with inductive codes derived from the data. To harmonise data derived from individual interviews, and to ensure inter-coder agreement by the two data analysts, a codebook was also developed [9]. Data from participants were then described and compared. Lastly, data were extracted and explained by in relation to the existing literature. Patient-participants in this study experienced clinic-related workload such as: two separate clinics for HIV and T2D and perceived and experienced power mismatch between patients and healthcare workers. Self-care related workloads were largely around nutritional requirements, pill burden, and stigma. Burden of these demands varied in difficulty...

  3. Q

    Data for: Qualitative Data Sharing: Participant Understanding, Motivation,...

    • data.qdr.syr.edu
    pdf, tsv, txt
    Updated Nov 1, 2023
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    Alicia VandeVusse; Alicia VandeVusse; Jennifer Mueller; Jennifer Mueller (2023). Data for: Qualitative Data Sharing: Participant Understanding, Motivation, and Consent [Dataset]. http://doi.org/10.5064/F6YYA3O3
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    tsv(1613), pdf(215887), tsv(33480), txt(3490), pdf(219898)Available download formats
    Dataset updated
    Nov 1, 2023
    Dataset provided by
    Qualitative Data Repository
    Authors
    Alicia VandeVusse; Alicia VandeVusse; Jennifer Mueller; Jennifer Mueller
    License

    https://qdr.syr.edu/policies/qdr-standard-access-conditionshttps://qdr.syr.edu/policies/qdr-standard-access-conditions

    Time period covered
    Jan 2020 - Feb 2020
    Area covered
    United States, New Jersey, Wisconsin, United States
    Dataset funded by
    Eunice Kennedy Shriver National Institute Of Child Health & Human Development of the National Institutes of Health
    Description

    Project Summary As part of a qualitative study of abortion reporting in the United States, the research team conducted cognitive interviews to iteratively assess new question wording and introductions designed to improve the accuracy of abortion reporting in surveys (to be shared on the Qualitative Data Repository in a separate submission). As expectations to share the data that underlie research increase, understanding how participants, particularly those taking part in qualitative research, respond to requests for data sharing is necessary. We assessed research participants’ willingness to, understanding of, and motivations for data sharing. Data Overview The data consist of excerpts from cognitive interviews with 64 cisgender women in two states in January and February of 2020 in which researchers asked for respondents for consent to share de-identified data. Eligibility criteria included: assigned female at birth, currently identified as a woman between the ages of 18-49, English-speaking, and reported ever having penile-vaginal sex. Respondents were screened for abortion history as well to ensure that at least half the sample reported a prior abortion. At the end of interviews, participants were asked to reflect on their motivations for agreeing or declining to share their data. The data included here are coded excerpts of their answers. Most respondents consented to data sharing, citing helping others as a primary motivation for agreeing to share their data. However, a substantial number of participants demonstrated limited understanding of “data sharing.” Data available here include the following materials: overview of methods, cognitive interview consent form (with language for data sharing consent), and data sharing analysis coding scheme.

  4. Q

    Data for: "What’s Wrong with Digital Stewardship: Evaluating the...

    • data.qdr.syr.edu
    pdf, tsv, txt
    Updated Nov 1, 2023
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    Vicky Steeves; Vicky Steeves; Shira Peltzman; Shira Peltzman; Julia Kim; Julia Kim; Peggy Griesinger; Peggy Griesinger; Karl-Rainer Blumenthal; Karl-Rainer Blumenthal (2023). Data for: "What’s Wrong with Digital Stewardship: Evaluating the Organization of Digital Preservation Programs from Practitioners’ Perspectives" [Dataset]. http://doi.org/10.5064/F6DJRPLK
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    pdf(162728), pdf(354973), pdf(208984), pdf(253407), pdf(213445), pdf(419951), pdf(132079), pdf(193032), tsv(9992), txt(4882), pdf(174452), pdf(393704), pdf(173616), pdf(195342), pdf(637600), pdf(153182), pdf(184484), pdf(317916), pdf(206586), pdf(97604), pdf(295869), pdf(123690), pdf(267635), pdf(210421), pdf(391732), pdf(381514), pdf(199039), pdf(202457), pdf(152340), pdf(485351)Available download formats
    Dataset updated
    Nov 1, 2023
    Dataset provided by
    Qualitative Data Repository
    Authors
    Vicky Steeves; Vicky Steeves; Shira Peltzman; Shira Peltzman; Julia Kim; Julia Kim; Peggy Griesinger; Peggy Griesinger; Karl-Rainer Blumenthal; Karl-Rainer Blumenthal
    License

    https://qdr.syr.edu/policies/qdr-restricted-access-conditionshttps://qdr.syr.edu/policies/qdr-restricted-access-conditions

    Time period covered
    2010 - 2018
    Area covered
    United States
    Description

    Project Overview The National Digital Stewardship Alliance surveyed practitioners in 2012 and again in 2017 to gauge, among other things, how satisfied they were with their organizations’ digital preservation function. This study seeks to understand what causes the high and rising levels of dissatisfaction that practitioners reported. We interviewed 21 digital stewards and asked them to describe the organizational context in which they work; to reflect on what aspects of their organizations’ approach to digital preservation are working well and which are not; and to evaluate necessary areas of improvement. We identified experiences that were common among participants using a qualitative research methodology based on phenomenology. These conversations revealed that practitioners largely consider digital stewardship values and goals to be misunderstood at an organizational level, and demonstrated that the absence of a long-term vision for digital stewardship disempowers practitioners.

  5. Q

    Data for 'The Rise of Investor-State Arbitration: Politics, Law, and...

    • data.qdr.syr.edu
    pdf, txt
    Updated Mar 16, 2018
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    Taylor St. John; Taylor St. John (2018). Data for 'The Rise of Investor-State Arbitration: Politics, Law, and Unintended Consequences' [Dataset]. http://doi.org/10.5064/F6UMRNAC
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    pdf(1009144), pdf(982960), pdf(290562), pdf(18143538), pdf(507061), pdf(14447208), pdf(391070), pdf(4265952), pdf(4976137), pdf(366204), pdf(82683), pdf(2434649), pdf(780788), pdf(1950189), pdf(791205), pdf(149495), pdf(1618227), pdf(1804343), pdf(377945), pdf(5068321), pdf(486529), pdf(543706), pdf(647144), pdf(127656), pdf(10035144), pdf(25478461), pdf(713552), pdf(3591633), pdf(12606009), pdf(10656878), pdf(1912323), pdf(12889697), pdf(570380), txt(19561), pdf(3031455), pdf(392152), pdf(14783110), pdf(3954231), pdf(8594998), pdf(602789), pdf(549571), pdf(2112228), pdf(9783608), pdf(1106117), pdf(2838735), pdf(490520), pdf(2066936), pdf(1315310), pdf(736274), pdf(1256491), pdf(9965269), pdf(46534095), pdf(773224), pdf(128483), pdf(824907), pdf(427661), pdf(8632643), pdf(1631598), pdf(2393388), pdf(7374454), pdf(5031879), pdf(621689), pdf(7319420), pdf(3540621), pdf(157196), pdf(4125166), pdf(103699), pdf(304692), pdf(498351), pdf(411325), pdf(1804096), pdf(1236146), pdf(546658), pdf(6873899), pdf(125905), pdf(486341), pdf(294045), pdf(6486764), pdf(380273), pdf(1015654), pdf(5352254), pdf(2433203), pdf(2661437), pdf(1327235), pdf(4008579), pdf(258200), pdf(1127455), pdf(11728681), pdf(947647), pdf(300089), pdf(737827), pdf(17151013), pdf(4131090), pdf(7106453), pdf(1804326), pdf(7892462), pdf(723295), pdf(1434616), pdf(13088022), pdf(2901112), pdf(1019821), pdf(2977705), pdf(13836359), pdf(253580), pdf(3870987), pdf(1062125), pdf(584470), pdf(489372), pdf(876120), pdf(2432822), pdf(536287), pdf(21525567), pdf(3506850), pdf(16103648), pdf(5564402), pdf(371880), pdf(688613), pdf(553494), pdf(313716), pdf(468716), pdf(507853), pdf(437336), pdf(526900), pdf(1019812), pdf(3870673), pdf(2081680), pdf(319162), pdf(1239430), pdf(1085253), pdf(3369858), pdf(581511), pdf(532434), pdf(12605955), pdf(319490), pdf(205042), pdf(16584276), pdf(538030), pdf(188873), pdf(6601397), pdf(392779), pdf(527321), pdf(516973), pdf(7377984), pdf(433019), pdf(758899), pdf(878269), pdf(2720621), pdf(746113), pdf(447587), pdf(408624), pdf(22192622), pdf(1525489), pdf(6418115), pdf(219810), pdf(314824), pdf(2859439), pdf(12676099), pdf(511821), pdf(297402), pdf(56314783), pdf(4360623), pdf(377951), pdf(16449960), pdf(5778475), pdf(2911042), pdf(2392274), pdf(1015734), pdf(712489), pdf(1230302), pdf(27789718), pdf(15498602), pdf(4177485), pdf(28572648), pdf(512446), pdf(3879224), pdf(3120704), pdf(600145), pdf(780922), pdf(1578218), pdf(1351110)Available download formats
    Dataset updated
    Mar 16, 2018
    Dataset provided by
    Qualitative Data Repository
    Authors
    Taylor St. John; Taylor St. John
    License

    https://qdr.syr.edu/policies/qdr-standard-access-conditionshttps://qdr.syr.edu/policies/qdr-standard-access-conditions

    Time period covered
    Jan 1, 1954 - Jan 1, 1994
    Area covered
    Jamaica, United Kingdom, Russian Federation, Argentina, Turkey, Germany, Switzerland, New Zealand, United States
    Dataset funded by
    Research Council of Norway
    Ford Foundation
    The Marshall Scholarship
    Description

    Data Overview The archival documents in these files support and illustrate conclusions drawn in my monograph, The Rise of Investor-State Arbitration: Politics, Law, and Unintended Consequences (Oxford University Press, 2018). The monograph's central research question is: what explains the rise of investor–state arbitration? These documents primarily reflect conversations, meetings, and letters between national officials and international officials, between the years 1954 and 1994. Most documents are from four national archives: the German Federal Archives (Bundesarchiv Koblenz), the National Archives of the United Kingdom, the Swiss Federal Archives (Bundesarchiv Bern), and several archives of the United States government. Select documents are from the Institute of Contemporary History (Institut für Zeitgeschichte), from the National Archives of New Zealand, and from the World Bank Group Archives. Data Collection Strategy The data in this deposit only contains archival documents. I also interviewed thirty-six current and former officials in governments and international organizations involved with ISDS. These interviews provided deep background and help me triangulate findings that emerged from archival documents. Many of the interviews were conducted off the record, so to ensure consistency and total confidentiality, none of the interviews are cited in the book, nor do any interview materials appear in the data repository. That said, many of my interviewees were extraordinarily knowledgeable and were able to give me specific events or dates that I could use to direct my search for archival materials. A few even identified documents that they believed would be in archives or made suggestions about how a particular type of discussion might have been filed and archived. The vast majority of the documents in this deposit were photographed by me (Taylor St John) or Yannick Stiller. Yannick was my research assistant, employed first by the Department of International Relations, London School of Economics, where he was also an MSc student, and subsequently by PluriCourts, University of Oslo, between May 2016-May 2017. We read files in person in the American, British, German, and Swiss archives and took pictures of individual pages. Between late 2016-2018, I combined these pictures into the PDF documents that appear in this deposit. An alternate way of organizing this deposit would have been to make the raw .jpg files available, organized by the file folders in which they were found in archives. While this would have been much less time-consuming for me, and would lead to more data being available overall, I decided against this for two reasons: first, it would have been much harder for users of the data to make sense of the files, and second, it would have been more difficult to secure permission to deposit entire folders. The remainder of the documents in this deposit were acquired as follows. I scanned a small minority of the documents in this deposit and photocopied another small minority (primarily the legislative documents, including Fulbright’s papers, in the US Center for Legislative Archives). The documents from the New Zealand archives and from the Institut für Zeitgeschichte were scanned for me by archivists at those institutions and sent either via CD-rom (New Zealand) or via email (Institut für Zeitgeschichte). My requests for documents were often not successful; for example, requests to the Australian government to declassify documents related to ICSID were denied due to pending litigation, and requests to the World Bank Group for documents often yielded substantially less disclosure than I had hoped.

  6. Q

    Data for "How do search systems impact systematic searching? A qualitative...

    • data.qdr.syr.edu
    csv, pdf, tsv, txt
    Updated Oct 18, 2022
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    Andy Hickner; Andy Hickner (2022). Data for "How do search systems impact systematic searching? A qualitative study" [Dataset]. http://doi.org/10.5064/F68AAMX3
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    pdf(122658), csv(8570), pdf(119081), pdf(108254), tsv(197298), txt(4029), pdf(113191), pdf(68856), pdf(108731), pdf(110226), pdf(118500), pdf(131016), pdf(283209), pdf(104834), pdf(219077), pdf(140329), pdf(126507), pdf(94342), pdf(129334), tsv(582), pdf(134503)Available download formats
    Dataset updated
    Oct 18, 2022
    Dataset provided by
    Qualitative Data Repository
    Authors
    Andy Hickner; Andy Hickner
    License

    https://qdr.syr.edu/policies/qdr-standard-access-conditionshttps://qdr.syr.edu/policies/qdr-standard-access-conditions

    Area covered
    Japan, Netherlands, United Kingdom, United States, Canada
    Description

    Project Summary Objectives: Systematic reviews and other evidence synthesis projects require systematic search methods. Search systems require several essential attributes in order to support systematic search method; however, many systems used in evidence synthesis fail to meet one or more of these requirements. A qualitative study was undertaken with two aims: 1. To examine the effect of these limitations on searching, and 2. To explore how and why searchers select platforms and databases for evidence synthesis projects. Methods: Data were collected from interviews with twelve systematic searchers. Data were analyzed using reflexive thematic analysis. Results: Analysis identified two overarching themes relating to search systems: interfaces shape search processes, and systematic searching occurs within the information market. Searchers face constraints of technology, time, and access which they must navigate while attempting to fulfill the goals and methodological requirements of evidence synthesis. Two publications are planned, utilizing this data collection. One will illustrate how searchers respond to the limitations they encounter in search systems and suggest potential reasons why those limitations persist. A subsequent publication will report two additional themes that pertain more broadly to searchers' role in evidence synthesis. The data for both publications were coded simultaneously, and the deposited data include the themes for both publications. Selection and Organization of Shared Data Data for "What do systematic searchers need from search systems?" includes deidentified interview transcripts (plain text), recruitment materials, study information sheet, description of participants, pre-screening form, interview guide, consent form, and coded data.

  7. Q

    Data for: Implementation of home blood pressure monitoring among French GPs:...

    • data.qdr.syr.edu
    • search.datacite.org
    pdf, txt
    Updated Nov 1, 2023
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    Jean-Marc Boivin; Jean-Marc Boivin (2023). Data for: Implementation of home blood pressure monitoring among French GPs: A long and winding road [Dataset]. http://doi.org/10.5064/F6NKFLPN
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    pdf(803550), pdf(2093602), txt(3460), pdf(2314855), pdf(2372943), pdf(1236609), pdf(1515129)Available download formats
    Dataset updated
    Nov 1, 2023
    Dataset provided by
    Qualitative Data Repository
    Authors
    Jean-Marc Boivin; Jean-Marc Boivin
    License

    https://qdr.syr.edu/policies/qdr-standard-access-conditionshttps://qdr.syr.edu/policies/qdr-standard-access-conditions

    Time period covered
    Oct 1, 2016 - Feb 9, 2017
    Area covered
    France, Lorraine, French
    Description

    Project Summary Background: To explore the perception of home blood pressure monitoring (HBPM) by general practitioners (GPs) in everyday practice in order to identify facilitators and barriers to its implementation in daily practice. Results: The first reasons given by GPs to explain their difficulties with HBPM (Home Blood Pressure Monitoring) implementation were the usual lack of time, material and human resources. However, all of these motives masked other substantial limiting factors including insufficient knowledge regarding HBPM, poor adherence to recommendations on HBPM and fear of losing their medical authority. GPs admitted that HBPM use could enhance patient observance and decrease therapeutic inertia. Despite this observation, most GPs used HBPM only at the time of diagnosis and rarely for follow-up. One explanation for GP reluctance towards HBPM may be, along with guidelines regarding hypertension, HBPM is perceived as being a binding framework and being difficult to implement. This barrier was more predominantly observed among aging GPs than in young GPs and was less frequent when GPs practiced in multidisciplinary health centers because the logistical barrier was no longer present. Discussion: In order to improve HBPM implementation in everyday practice in France, it is necessary to focus on GP training and patient education. We must also end "medical power" in hypertension management and turn to multidisciplinary care including nurses, pharmacists and patients. Data Generation Procedure: Data for this project were generated by a qualitative study comprising the conduct of six focus groups between October 2016 and February 2017, gathering 41 general practitioners in primary care practice in Lorraine (North Eastern France), with thematic and comprehensive analysis. Each meeting was recorded and subsequently fully transcribed to gather all statements. Each focus group was composed of GPs using HBPM more or less regularly. Focus groups were led by a moderator and an observer (GD, LD). The observer’s role was to collect non-verbal behavior, noting silences and hesitations. The role of the moderator was to ensure that each of the GPs could speak on each theme. It was not a questionnaire but a semi-structured open discussion. The duration of the focus groups was about two hours. Recruitment: Sampling was carried out among a population of general practitioners working in a primary care office setting. Variability in age, gender, type and place of practice were taken into consideration for constituting the different GP panels. The first group comprised teachers and GPs trained in the use of HBPM (some GPs had a university degree in hypertension and cardiovascular risk). The second group comprised GPs occasionaly working with one of the authors and known to them as non-user. Consent: All participating GPs gave their agreement to the recording of the interviews. All of the comments expressed during each focus group were meticulously transcribed, preserving the anonymity of those involved. All participants were informed regarding the goal of this study, the modalities of focus group attainment and the processing of collected data.

  8. Q

    Translational Research Group: Ebola 100 Project

    • data.qdr.syr.edu
    pdf, txt
    Updated Nov 1, 2023
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    Kerry Fosher; Kerry Fosher (2023). Translational Research Group: Ebola 100 Project [Dataset]. http://doi.org/10.5064/F68PQFS8
    Explore at:
    txt(2966), pdf(793990), pdf(723855), pdf(141328), pdf(248978), pdf(621167), pdf(331598), pdf(852212), pdf(5116462), pdf(136779), pdf(544475), pdf(521406), pdf(1089023), pdf(596891)Available download formats
    Dataset updated
    Nov 1, 2023
    Dataset provided by
    Qualitative Data Repository
    Authors
    Kerry Fosher; Kerry Fosher
    License

    https://qdr.syr.edu/policies/qdr-restricted-access-conditionshttps://qdr.syr.edu/policies/qdr-restricted-access-conditions

    Area covered
    Liberia, Monrovia, United States
    Description

    Project Summary This project was developed to contribute military voices to the larger Ebola 100 Project, which was run by a consortium of individuals and institutions and had the goal of creating a public archive of interviews with individuals involved in the West Africa Ebola outbreak of 2014-2015. Data consist of 8 transcripts of semi-structured interviews with military personnel conducted between 2015 and 2017. Also included are a project overview and an explanation of data sharing with the Ebola 100 archive.

  9. Q

    Data for: 'A Directory of Cartographic Inventors' and 'Patents and...

    • data.qdr.syr.edu
    • data.stage.qdr.org
    pdf, tsv, txt, xlsx
    Updated Nov 13, 2023
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    Mark Monmonier; Mark Monmonier (2023). Data for: 'A Directory of Cartographic Inventors' and 'Patents and Cartographic Inventions' [Dataset]. http://doi.org/10.5064/F6B7AR4J
    Explore at:
    tsv(82643), tsv(2940), tsv(21419), xlsx(13594), tsv(391123), tsv(6782), xlsx(34565), tsv(39452), tsv(10576), tsv(380601), tsv(380602), txt(4343), xlsx(104084), tsv(5444), tsv(93794), tsv(34678), tsv(36737), tsv(25229), tsv(6386), xlsx(15227), xlsx(20833), tsv(3578), xlsx(31382), xlsx(101003), tsv(3613), tsv(1510), xlsx(25819), xlsx(17870), tsv(15103), xlsx(43773), tsv(9657), xlsx(38774), tsv(32925), tsv(3942), tsv(6721), tsv(14610), tsv(942), tsv(1277), tsv(399272), tsv(3483), tsv(367300), tsv(39457), pdf(1848585), pdf(1118444), pdf(914782), pdf(1284291), pdf(1198473), pdf(1727928), pdf(1425884)Available download formats
    Dataset updated
    Nov 13, 2023
    Dataset provided by
    Qualitative Data Repository
    Authors
    Mark Monmonier; Mark Monmonier
    License

    https://qdr.syr.edu/policies/qdr-standard-access-conditionshttps://qdr.syr.edu/policies/qdr-standard-access-conditions

    Area covered
    Syracuse, United States
    Dataset funded by
    National Science Foundation
    Description

    Project Summary Supplementary data relating to the biographies and patents illustrated from the two books: Patents and Cartographic Inventions: A New Perspective for Map History and A Directory of Cartographic Inventors written by Mark Monmonier. These two titles focus on the cartographic inventors and the devices and technologies they created to making maps easier to use. The Patents book focuses on the patent process between the Patent Office clerks and the inventor exploring the correspondence between them during the description and review process before issuing a patent number. It also explores the patent as a publishing process of both property rights and as a scholarly publication. The Directory has biographical sketches of the inventors organized by genres of invention type.

  10. Q

    Data for: Exploring sources of insecurity for Ethiopian Oromo and Somali...

    • data.qdr.syr.edu
    tsv, txt
    Updated Feb 3, 2020
    + more versions
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    Amber Lalla; Amber Lalla (2020). Data for: Exploring sources of insecurity for Ethiopian Oromo and Somali women who have given birth in Kakuma Refugee Camp: A qualitative study [Dataset]. http://doi.org/10.5064/F62T7NYQ
    Explore at:
    txt(6452), tsv(35518)Available download formats
    Dataset updated
    Feb 3, 2020
    Dataset provided by
    Qualitative Data Repository
    Authors
    Amber Lalla; Amber Lalla
    License

    https://qdr.syr.edu/policies/qdr-standard-access-conditionshttps://qdr.syr.edu/policies/qdr-standard-access-conditions

    Time period covered
    2017
    Area covered
    Kakuma
    Dataset funded by
    No Grant- Funding from University of Notre Dame Eck Center for Global Health Master of Science in Global Health Program
    Description

    Data consists of interview excerpts utilized for the analysis of a paper submitted for publication entitled "Exploring sources of insecurity for Ethiopian Oromo and Somali women who have given birth in Kakuma Refugee Camp: A Qualitative Study." Project Summary Background: According to the United Nations High Commissioner for Refugees, 44,000 people are forced to flee their homes everyday due to conflict or persecution. Although refugee camps are designed to provide a safe temporary location for displaced persons, increasing evidence demonstrates that the camps themselves have become stressful and dangerous long-term places—especially for women. However, there is limited literature focused on the refugee women’s perspective on their insecurity. This qualitative study sought to better understand the ways in which women experienced insecurity at one refugee camp in Kenya. Methods and Findings: Between May 2017 and June 2017, ethnographic semi-structured interviews accompanied by observations were conducted with a snowball sampling of 20 Somali (n=10) and Oromo Ethiopian (n=10) women, 18 years and older, who have had at least one pregnancy while living in Kakuma Refugee Camp. The interviews were orally translated, transcribed, entered into Dedoose software for coding, and analyzed utilizing an ethnographic approach. Four sources of insecurity became evident: Tension between refugees and the host community, intra/intercultural conflicts between the refugee community, direct abuse and/or neglect by camp staff and security, and unsafe situations in accessing healthcare both in transportation and in mistreatment in facilities. Potential limitations include nonrandom sampling, focus on a specific population, inability to record interviews and possible subtle errors in translation. Conclusion:In this study, we observed women felt insecure in almost every area of the camp, with no place in the camp where the women felt safe. As it is well documented that insecure and stressful settings may have deleterious effects on health, understanding the sources of insecurity that are faced by women in refugee camps can help to guide services for health care in displaced settings. By creating a safer environment for these women in private, in public, and in the process of accessing care in refugee camps, we can improve health for them and their babies. Data Generation Sampling:The population of the study was limited to Somali and Oromo women over the age of 18 with no upper age limit who had given birth at least once in Kakuma Refugee Camp. Due to both the infeasibility of collecting a random sample within the camp and the sensitivity of the topic, participants of interviews were selected through a snowball sampling approach through contacts used in previous research, including a hired mobilizer with previous experience in similar research. The mobilizer was responsible for recruiting women fitting the criteria outlined above who were willing to talk about their pregnancy experiences and stressors. Interviews:The interviews lasted between 30-60 minutes each. They were conducted in a place of each participant’s choosing, typically their own homes, with the assistance of a translator. The interviews were all carried out by the same female researcher (AL) and the same female translator. The researcher was a trained interviewer with previous interview experience in rural settings and was enrolled in the Master of Science in Global Health Program at the University of Notre Dame during the time of study. The translator was a refugee of Oromo Ethiopian descent living in Kakuma Refugee Camp herself. Twenty interviews were conducted in total. After the initial interviews, twelve of the twenty interviews were identified that required further clarification. These twelve interviews were repeated with the corresponding interviewee to cross-verify that the relevant meaning had been captured and to expand details within the respondents’ interviews. Children were usually present during the interviews, and at times, men were also present during the interviews. The researcher asked the questions in English and the translator translated the question as close to verbatim as possible for the participant. Due to IRB constraints and in order to maintain rapport with the participants, interviews were not recorded; however, detailed and verbatim notes from the translator were taken during the interview and typed up within twenty-four hours. Data Analysis Analysis: One researcher (AL) developed a codebook organically through reading over interviews and notes. Typed and de-identified interview notes were uploaded to Dedoose a qualitative analysis program, and given codes and sub-codes from the aforementioned codebook. Codes included insecurity, health, pregnancy experiences, healthcare facilities, stressors, income, coping, and support. The subcodes of insecurity include general insecurity, host community, refugee community, healthcare facilities,...

  11. Q

    Data for: Finding pathways: Mixed-methods research for studying causal...

    • data.qdr.syr.edu
    Updated Jan 26, 2018
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    Jeb Barnes; Nicholas Weller; Jeb Barnes; Nicholas Weller (2018). Data for: Finding pathways: Mixed-methods research for studying causal mechanisms [Dataset]. http://doi.org/10.5064/F6MW2F2K
    Explore at:
    application/x-stata-syntax(7992), txt(5799), tsv(664705), m4v(232789271), application/x-stata-syntax(1805), pdf(316220), tsv(20858), m4v(260569471), tsv(17229), application/x-stata-syntax(4115), m4v(380664800), tsv(251521), application/x-stata-syntax(2570), txt(1907), m4v(358133483), pdf(60735), m4v(172985354), pdf(631522), m4v(215345315), tsv(263758), txt(45121)Available download formats
    Dataset updated
    Jan 26, 2018
    Dataset provided by
    Qualitative Data Repository
    Authors
    Jeb Barnes; Nicholas Weller; Jeb Barnes; Nicholas Weller
    License

    https://qdr.syr.edu/policies/qdr-standard-access-conditionshttps://qdr.syr.edu/policies/qdr-standard-access-conditions

    Time period covered
    Jan 1, 2013 - Dec 31, 2014
    Description

    This pedagogical data project provides materials related to conducting pathway analysis: the use of case studies to explore the causal links between variables. Materials include recorded workshop sessions, data sets and problem sets.

  12. Q

    Constitute: Constitutional text for scholars and​ drafters

    • data.qdr.syr.edu
    • dataverse.harvard.edu
    bin, tsv, txt
    Updated May 15, 2018
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    Zachary Elkins; Zachary Elkins; Tom Ginsburg; James Melton; Tom Ginsburg; James Melton (2018). Constitute: Constitutional text for scholars and​ drafters [Dataset]. http://doi.org/10.5064/F6TD9V7G
    Explore at:
    bin(1130670), bin(1364084), bin(1071391), bin(709361), bin(786130), bin(1962406), bin(3116928), bin(1099210), bin(1217639), bin(1987293), bin(1419843), bin(1908516), bin(1490549), bin(1657058), bin(1026858), bin(2050535), bin(6549543), bin(1840870), bin(1568684), bin(1575398), bin(717301), bin(680198), bin(2215890), bin(3117021), bin(2283623), bin(1527179), bin(1868099), bin(595183), bin(2247739), bin(5075034), bin(4400884), bin(1029932), bin(3581768), bin(757779), bin(1366244), bin(2793305), bin(3114987), bin(2849716), bin(764325), bin(751809), bin(2435413), bin(825300), bin(1236025), bin(2592142), bin(3089448), bin(1230969), bin(1790394), txt(7754), bin(731918), bin(672866), bin(1598450), bin(547153), bin(781999), bin(2457235), bin(1947037), bin(747277), bin(3474843), bin(1539295), bin(548248), bin(3471144), bin(985360), bin(1831538), bin(778913), bin(3073059), bin(618237), bin(1930929), bin(1211719), bin(2071077), bin(2126556), bin(913059), bin(6137314), bin(1142767), bin(612612), bin(674216), bin(967397), bin(1997235), bin(5203847), bin(658426), bin(454324), bin(2245601), bin(1022726), bin(5326994), bin(927240), tsv(11809), bin(7636107), bin(614513), bin(959996), bin(8217627), bin(3261593), bin(1738741), bin(746594), bin(2046509), bin(1518537), bin(795575), bin(1236857), bin(334935), bin(831137), bin(1173438), bin(745540), bin(3623995), bin(443506), bin(628768), bin(2125932), bin(591929), bin(1250179), bin(2050779), bin(1095254), bin(2063961), bin(900871), bin(1875015), bin(2525559), bin(278757), bin(2502995), bin(499602), bin(2540976), bin(1420038), bin(491785), bin(1675832), bin(947591), bin(1258692), bin(1266230), bin(1631675), bin(491658), bin(3255046), bin(761578), bin(879468), bin(731071), bin(1258644), bin(1231447), bin(2496634), bin(473793), bin(2349371), bin(2058508), bin(359162), bin(4174778), bin(386340), bin(1037028), bin(2738269), bin(3795621), bin(1111907), bin(1066765), bin(3897176), bin(440855), bin(801311), bin(1163544), bin(2942051), bin(344632), bin(7083722), bin(4914988), bin(613020), bin(428692), bin(927193), bin(2000036), bin(5879211), bin(1346802), bin(5460098), bin(6506416), bin(1136155), bin(17035749), bin(426668), bin(377930), bin(24363628), bin(656780), bin(2077066), bin(496561), bin(847033), bin(3236327), bin(2812302), bin(1069710), bin(495639), bin(1240571), bin(1406937), bin(518478), bin(1291373), bin(1853831), bin(814134), bin(2167577), bin(2300608), bin(377535), bin(1943400), bin(5329857), bin(1015691), bin(1276905), bin(3479582), bin(4359937), bin(8763373), bin(848144), bin(2134347), bin(2255038), bin(4001384), bin(1605098), bin(1102899), bin(2425959), bin(1590987), bin(2632953), bin(4163708), bin(187169), bin(5109813), bin(702112), bin(500310), bin(2198507), bin(518730), bin(2623121), bin(2740509), bin(870537), bin(2616754), bin(989262), bin(2670841), bin(1439447), bin(2168182)Available download formats
    Dataset updated
    May 15, 2018
    Dataset provided by
    Qualitative Data Repository
    Authors
    Zachary Elkins; Zachary Elkins; Tom Ginsburg; James Melton; Tom Ginsburg; James Melton
    License

    https://qdr.syr.edu/policies/qdr-standard-access-conditionshttps://qdr.syr.edu/policies/qdr-standard-access-conditions

    Time period covered
    Jan 1, 1789 - Dec 26, 2017
    Area covered
    World, Global
    Dataset funded by
    National Science Foundation
    Description

    Constitute is a web application developed for the analysis of the text of written constitutions. At the heart of the application is a set of constitutional excerpts that are encoded with tags derived from a conceptual inventory used in the Comparative Constitutions Project (CCP), a related dataset that records the characteristics of national constitutions since 1789. The data collection deposited with QDR is a complete set of excerpts, together with topical tags, from in-force constitutions, as well as a few draft and historical constitutions, appearing on the site as of December 26, 2017. Data Abstract The data include the constitutions of nearly all independent states, as identified by Ward and Gledistch, in force as of December 26, 2017. Constitute’s conceptual organization was informed by its intended use as a public-facing data product. Since Constitute is intended to be usable for members of the public as well as real-life constitution-writers and academics, the project’s texts, content tags, and conceptual inventory are all organized with an eye towards readability and parsimony. This guiding principle is most noticeable in the dataset’s conceptual inventory, which covers roughly half as many items as the original Comparative Constitutions Project (CCP) variable set. Constitute’s hierarchical variable organization — enabled by the Semantic Web technology underlying the project — is informed by similar concerns. To enhance usability (both visually on the project’s website and in downstream statistical applications), Constitute’s conceptual hierarchy is oriented in a shallow but wide fashion, with few hierarchical layers and many sub-categories at each layer. In compiling data for QDR, we included all information which is available on the Constitute website at the time of submission. These data consist of Semantic Web (.nt) files that include excerpts from nearly all in-force constitutions as of 2017, with accompanying content tags. The data follow a conceptual framework developed by the Principal Investigators in the Comparative Constitutions Project (CCP), a related dataset that records some 600 characteristics of national constitutions enacted since 1789. Documentation and data for that project, including data and texts for older constitutions, are available on the project website, at https://comparativeconstitutionsproject.org . Data Model The textual excerpts are derived from the CCP’s core dataset, which records a comprehensive set of characteristics of historical constitutions. The Constitute dataset consists of two main pieces: (1) a set of conceptual tags and a related conceptual ontology; and (2) a collection of cleaned and tagged constitutional texts. Constitute tracks some 300 unique conceptual tags at the paragraph level of each individual constitution, which are organized into a hierarchical, extensible ontology. Example tags might include “Free Expression,” “Head of State Powers,” or “National Motto.” The Constitute conceptual inventory is available in QDR as an OWL file, a graph-based Semantic Web format that allows for formal descriptions of hierarchical classification schemes. In accordance with the general Semantic Web framework, OWL files can be easily expanded to include new categories and relationships, allowing researchers to extend the Constitute coding scheme for their own purposes. Each constitutional text in Constitute is represented in a related hierarchical format. Currently, the QDR sample consists of nearly all in-force national constitutions as of 2017, as well as a few draft and historical texts. Files Description The data collection deposited with QDR is a complete set of excerpts -- together with topical tags – as they appeared on the site as of December 26, 2017. Metadata about each constitution is also provided (as an .nt file), along with the project’s conceptual inventory (as an .owl file) and copyright information (as a spreadsheet).

  13. Q

    S2 Conservation of Matter Elementary Science Task

    • data.qdr.syr.edu
    docx, jpeg, mp4, pdf +4
    Updated Mar 26, 2021
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    Jamie Mikeska; Jamie Mikeska; Heather Howell; Heather Howell; Elizabeth Orlandi; Kenneth King; Michelle Lipari; Glenn Simonelli; Elizabeth Orlandi; Kenneth King; Michelle Lipari; Glenn Simonelli (2021). S2 Conservation of Matter Elementary Science Task [Dataset]. http://doi.org/10.5064/F6R3772G
    Explore at:
    docx(316528), pptx(9903607), tsv(1553), docx(682429), pptx(18173540), docx(78713), docx(97891), mp4(24138233), ppt(28130304), docx(2743515), pdf(987910), pdf(1188098), mp4(111709573), mp4(76013094), pptx(736115), tsv(4770), pptx(4925803), docx(64280), docx(59474), docx(71664), docx(63757), docx(29671), docx(2538955), pptx(3624233), docx(64079), pptx(48117774), mp4(15944350), mp4(113084833), jpeg(283899), jpeg(164648), docx(69500), docx(61992), docx(73223), txt(7020), jpeg(3377131), docx(101226), pdf(2120700), docx(71746), tsv(3247), mp4(13871606), pdf(618440), docx(188002), docx(60508), docx(62325), docx(101552), jpeg(110651), docx(62399), docx(100487), mp4(11739256), jpeg(3182966), docx(61833), docx(63058), docx(98181), pptx(3430812), docx(66381), pptx(1081359), docx(61842), docx(2149619), mp4(80138958), docx(494247)Available download formats
    Dataset updated
    Mar 26, 2021
    Dataset provided by
    Qualitative Data Repository
    Authors
    Jamie Mikeska; Jamie Mikeska; Heather Howell; Heather Howell; Elizabeth Orlandi; Kenneth King; Michelle Lipari; Glenn Simonelli; Elizabeth Orlandi; Kenneth King; Michelle Lipari; Glenn Simonelli
    License

    https://qdr.syr.edu/policies/qdr-standard-access-conditionshttps://qdr.syr.edu/policies/qdr-standard-access-conditions

    Time period covered
    2016 - 2020
    Dataset funded by
    National Science Foundation
    Description

    Project Overview In this four-year project called Developing Preservice Elementary Teachers' Ability to Facilitate Goal-Oriented Discussions in Science and Mathematics via the Use of Simulated Classroom Interactions (GO Discuss), Educational Testing Service and Mursion developed, piloted, and validated a set of performance-based tasks delivered within a simulated classroom environment in order to improve preservice elementary teachers’ ability to orchestrate discussions. These tasks provided opportunities for preservice teachers in science and mathematics to facilitate discussions with five upper elementary student avatars (fifth grade) where the focus is on disciplinary argumentation within two content domains: fractions (mathematics) and structure/properties of matter (science). The overall goal of this research was to develop a validity basis for the use of such tools as formative assessment tasks that can be integrated within educator preparation programs to increase the amount, variety, and quality of clinical practice opportunities currently available to preservice elementary teachers. For this project, we developed eight performance-based tasks, four in mathematics and four in science, designed to be used by pre-service elementary teachers as they practice leading classroom discussions in the simulated classroom. Each task provides a scenario and specific details about the discussion, including the student learning goal, students’ background information, and what happened prior to the discussion. We also included the student work related to the mathematics problem or science investigation that was the focus within that task and a summary of important things that we wanted the pre-service elementary teachers to notice about the student work. This specific data project includes materials for one elementary science task called Conservation of Matter. In this task, students consider whether the amount of matter is conserved during a physical change. Prior to the discussion, students worked in small groups to make lemonade by combining water, lemon juice, and sugar and investigated whether the amount of matter changed after mixing the ingredients together. The pre-service teacher leads a group discussion focused on whether the amount of matter changed in the lemonade investigation, drawing on observations from previous investigations the class conducted to support or refute the students’ original claims. Materials for pre-service teachers, resources for teacher educators, including sample videos, and task-specific simulation specialist training materials are included. For a complete description of the broader “Go Discuss” project, including a list of files for each task, as well as to read the detailed Terms of Use, please start by reading the Data Overview file. Some files appear in different formats with identical content. This is intentional. ETS wants to encourage adaptation of the deposited materials (which might be easier to implement in Word documents), but also wants to ensure that images and math notations are rendered correctly for secondary users (best preserved in PDF).

  14. Q

    Data from: Unplanned Admission to the ICU: A Qualitative Study Examining...

    • data.qdr.syr.edu
    pdf, txt
    Updated Nov 1, 2023
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    Ann L. Jennerich; Ann L. Jennerich (2023). Unplanned Admission to the ICU: A Qualitative Study Examining Family Member Experiences [Dataset]. http://doi.org/10.5064/F6GXXBVD
    Explore at:
    txt(3031), pdf(137301), pdf(559869), pdf(116208)Available download formats
    Dataset updated
    Nov 1, 2023
    Dataset provided by
    Qualitative Data Repository
    Authors
    Ann L. Jennerich; Ann L. Jennerich
    License

    https://qdr.syr.edu/policies/qdr-standard-access-conditionshttps://qdr.syr.edu/policies/qdr-standard-access-conditions

    Time period covered
    Sep 1, 2014 - Jun 30, 2015
    Area covered
    Washington, United States, Seattle
    Dataset funded by
    National Institute of Nursing Research
    Description

    Project Summary The project seeks to create knowledge about family members' experiences during hospital stays complicated by a patient's unplanned admission to the ICU. Qualitative data were collected from semi-structured interviews with families of patients who were transferred from acute care to the ICU after a clinical deterioration. All participants were recruited from a level-1 trauma center in Seattle, WA, where patients could be transferred to the following ICU services: medical, cardiac, surgical/trauma, or neurocritical care. Eligible family members were 18 years of age and English-speaking. They were identified by screening each ICU census for patients who were transferred from acute care to the ICU, excluding patients whose acute care or ICU stay was <24 hours. Family members were approached at the patient's bedside, and written informed consent was obtained. Consent for medical record review was provided by patients when they retained decision-making capacity or legal-next-of-kin when they did not. Data Overview Data from interview transcripts were coded based on domains from a previously validated conceptual model of clinician-surrogate communication (Torke et al). ATLAS.ti textual data analysis software (ATLAS.ti Scientific Software Development GmbH, Berlin, Germany) was used for the analysis. The data available here include a few excerpts from interview transcripts that were organized in a thematic aggregate table.

  15. Q

    Problem-Solving Courts, Street Level Bureaucrats, and Clients as Policy...

    • data.qdr.syr.edu
    • datacatalog.hshsl.umaryland.edu
    pdf, txt
    Updated Dec 8, 2022
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    Corey Shdaimah; Corey Shdaimah (2022). Problem-Solving Courts, Street Level Bureaucrats, and Clients as Policy Agents in a Prostitution Diversion Program [Dataset]. http://doi.org/10.5064/F6C8VUHP
    Explore at:
    pdf(70389), pdf(189119), pdf(69987), pdf(140813), pdf(97406), pdf(104962), pdf(81856), pdf(58137), pdf(154407), pdf(64414), txt(22841), pdf(127775), pdf(107567), pdf(72686), pdf(338395), pdf(156466), pdf(81648), pdf(133866), pdf(162850), pdf(115281), pdf(81528), pdf(142593), pdf(151842), pdf(51962), pdf(96905), pdf(105701), pdf(106650), pdf(180958), pdf(369879), pdf(181045), pdf(386972), pdf(119267), pdf(104478), pdf(131136), pdf(176160)Available download formats
    Dataset updated
    Dec 8, 2022
    Dataset provided by
    Qualitative Data Repository
    Authors
    Corey Shdaimah; Corey Shdaimah
    License

    https://qdr.syr.edu/policies/qdr-restricted-access-conditionshttps://qdr.syr.edu/policies/qdr-restricted-access-conditions

    Time period covered
    Apr 7, 2011 - Feb 15, 2015
    Area covered
    United States, Maryland, Baltimore City, Philadelphia, Pennsylvania, United States
    Dataset funded by
    The research is grateful to the University of Maryland School of Social Work, especially Dean Richard Barth and PhD Program Director Donna Harrington, for their support through funding for transcription, interview incentives, and research assistance.
    Description

    Project Summary Overview: Over 3,200 problem-solving courts exist, with even more being planned, yet we know very little about how they work or about the extension of the drug court model to other types of offenses. Even less is known about the perspective of participants. This study examined prostitution models newly implemented in Baltimore City and Philadelphia, which, at the time, were two of the few existing examples of these programs that have been implemented with this population. It also included participant perspectives on what motivates them to participate in the program and how they negotiate with court professionals to meet their needs. This research study was designed to contribute to the broader policy debate regarding the risks and benefits of alternative criminal justice models, including under what circumstances and with which populations they are most likely to be effective, beneficial or harmful. Data Overview Study Design: The study employed a primarily qualitative longitudinal design. Interviews and focus groups with a sample of Baltimore city’s Specialized Prostitution Diversion program (SPD) and Philadelphia’s Project Dawn Court clients that took place during and after their participation in the SPD or PDC, respectively, and with program staff and professional stakeholders, such as attorneys and probation officers. These were supplemented with observations of courtroom processes and interactions with program staff and quantitative analysis of data collected by the program, including participant demographics, program take-up and compliance rates, and types of services requested and provided. This builds on a pilot study of the SPD that included 25 interviews with 20 participants (5 were interviewed twice). While the PDC shares some traits with the SPD such as consequences of successful completion (null processing of cases), the PDC provides a useful comparison as it differs from the SPD along a number of program features that have been identified in the problem-solving court literature as salient, including length of program, level of judicial involvement, and the need to plead guilty in order to participate. This allowed for conceptual comparison of the two programs. These differences are important for this study as they may impact 1) client decisionmaking 2) professional stakeholders’ perceptions of clients, and 3) the negotiations between the two groups regarding program implementation and compliance. For further information on prostitution diversion programs and the study sites: • For an overview of key aspects of prostitution diversion programs, see: Shdaimah, C. (2020). Prostitution diversion programs. In Bernat, F.P. & Frailing, K. (Eds.), Women and Crime Encyclopedia, 3 volumes. Hoboken, NY: John Wiley & Sons Inc. Available at https://onlinelibrary.wiley.com/doi/10.1002/9781118929803.ewac0423 • For more details on the PDC and SPD, including a comparison chart of key features, see:: Leon, C. & Shdaimah, C.S. (2012). JUSTifying Scrutiny: State power in prostitution diversion programs. Journal of Poverty, 16, 250-273. • For information on the backdrop and origins of Baltimore's SPD, see: Shdaimah, C.S. (2010) Taking a stand in a not-so-perfect world: What’s a critical supporter to do? University of Maryland Journal of Gender, Race, Class and Religion 10, (1), 89-111. • For information on the backdrop of prostitution processing in Philadelphia, see: Baylson, M. (2017). Victim or criminal: Street-level prostitutes and the criminal justice system. In K. Hail-Jares, C. Shdaimah, & C. Leon (Eds.), Challenging perspectives on sreet-based sex work (pp. 156-161). Temple University Press. • For information on the PDC see the editorial remarks provided in: Muraresku, L. (2017). “Just to be there”: A probation officer’s reflection on Project Dawn Court. In In K. Hail-Jares, C. Shdaimah, & C. Leon (Eds.), Challenging perspectives on street-based sex work, (p. 41-50). Temple University Press. Study components: 1. Qualitative Interviews with Program Participants: A series of two to five interviews per person (depending on where they are at in the program) with participants in the SPD and PDC, during and after their participation in their respective program to explore their perceptions of that program and their encounters with professional staff. All PDC interviews were conducted by the PI, and SPD interviews were conducted primarily by Deborah Svoboda who at the time served as a PhD student research assistant. The interviews took place in a private location provided at the courthouse or of the respondent’s choice (these include quiet coffee shops, private rooms provided by programs that participants were enrolled in; participant homes and residential programs). Program staff referred most SPD respondents; most PDC respondents were recruited by the PI during court observations. In all cases, program staff were not informed of whether any particular individual participated in the study so...

  16. Q

    British Cold War Documents

    • data.qdr.syr.edu
    pdf, tsv, txt
    Updated Apr 7, 2020
    + more versions
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    Marc Trachtenberg; Marc Trachtenberg (2020). British Cold War Documents [Dataset]. http://doi.org/10.5064/F64NRC1B
    Explore at:
    pdf(405295), pdf(329131), pdf(339042), pdf(553003), pdf(993479), pdf(487531), pdf(413574), pdf(273547), pdf(271312), pdf(680006), pdf(968742), pdf(282951), pdf(531191), pdf(571599), pdf(331053), pdf(453101), pdf(182875), pdf(2035269), pdf(422224), pdf(925080), pdf(738180), pdf(573939), pdf(206435), pdf(775395), pdf(369003), pdf(159003), pdf(409729), pdf(237266), pdf(445331), pdf(328209), pdf(551954), pdf(442690), pdf(350944), pdf(516627), pdf(1229360), pdf(582390), pdf(468789), pdf(471721), pdf(415820), pdf(549703), pdf(551719), pdf(278622), pdf(1018282), pdf(351740), pdf(214325), pdf(769757), pdf(218445), pdf(387851), tsv(37193), pdf(419602), pdf(284979), pdf(393039), pdf(374826), pdf(472814), pdf(229327), pdf(303919), pdf(242762), pdf(521612), pdf(580742), pdf(318194), pdf(356678), pdf(333645), pdf(4172142), pdf(456220), pdf(617003), pdf(655423), pdf(344275), pdf(657086), pdf(597803), pdf(318763), pdf(415697), pdf(320834), pdf(995860), pdf(295301), pdf(266043), pdf(679803), pdf(382633), pdf(691097), pdf(266812), pdf(567363), pdf(856900), pdf(399816), pdf(385937), pdf(555451), txt(14780), pdf(878763), pdf(275007), pdf(2033594), pdf(587365), pdf(528548), pdf(255481), pdf(394560), pdf(245032), pdf(214724), pdf(477324), pdf(269289), pdf(3450839), pdf(308417), pdf(876327), pdf(452586), pdf(407262), pdf(288464), pdf(196309), pdf(408310), pdf(380960), pdf(284235), pdf(750468), pdf(420437), pdf(177356), pdf(388856), pdf(1482868), pdf(243934), pdf(482977), pdf(382444), pdf(502813), pdf(590480), pdf(461156), pdf(275328), pdf(727730), pdf(487642), pdf(781576), pdf(497907), pdf(610507), pdf(379096), pdf(409105), pdf(552446), pdf(534165), pdf(1576997), pdf(395801), pdf(302839), pdf(663607), pdf(343121), pdf(399567), pdf(489459), pdf(1534496), pdf(359011), pdf(590390), pdf(1914403), pdf(313638), pdf(567677), pdf(271545), pdf(363280), pdf(310027), pdf(1582315), pdf(570475), pdf(310996), pdf(525101), pdf(461282), pdf(510921), pdf(1013609), pdf(1251689), pdf(1058704), pdf(284398), pdf(456995), pdf(826021), pdf(847530), pdf(619629), pdf(284775), pdf(322282), pdf(436653), pdf(467149), pdf(218076), pdf(284521), pdf(269770), pdf(820769), pdf(1113867), pdf(1119295), pdf(545699), pdf(527550), pdf(228814), pdf(697267), pdf(454465), pdf(1041658), pdf(414438), pdf(457253), pdf(345802), pdf(438821), pdf(523128), pdf(576838), pdf(314895), pdf(486314), pdf(264071), pdf(286073), pdf(421414), pdf(572092), pdf(258434), pdf(451392), pdf(473799), pdf(595267), pdf(349765), pdf(224692), pdf(265704), pdf(842627), pdf(747232), pdf(545248), pdf(353060), pdf(634625), pdf(597323), pdf(680919), pdf(428417), pdf(809135), pdf(495557), pdf(241931), pdf(450604), pdf(548656), pdf(402731), pdf(894365), pdf(377650), pdf(589994), pdf(1163920), pdf(500770), pdf(607635), pdf(993910), pdf(2720878), pdf(872690), pdf(165429), pdf(534806), pdf(565322), pdf(258587), pdf(211796), pdf(223861), pdf(325416), pdf(822638), pdf(408241), pdf(899610), pdf(515988), pdf(796664), pdf(232772), pdf(687762), pdf(358833), pdf(445502), pdf(1339050), pdf(1251351), pdf(297405), pdf(451595), pdf(349112), pdf(634925), pdf(431448), pdf(320657), pdf(1542543), pdf(340878), pdf(310307), pdf(595194), pdf(570500), pdf(302967), pdf(455316), pdf(380977), pdf(329084), pdf(329332), pdf(878656), pdf(1365504), pdf(515994), pdf(403592), pdf(1942089), pdf(186715), pdf(476855), pdf(857025), pdf(234073), pdf(249644), pdf(1445065), pdf(340631), pdf(540944), pdf(213509), pdf(323757), pdf(446561), pdf(385909), pdf(637718), pdf(1403174), pdf(982602), pdf(1176082), pdf(606848), pdf(200498), pdf(231630), pdf(174932), pdf(587910), pdf(476258), pdf(1116499), pdf(627973), pdf(658108), pdf(344000), pdf(576500), pdf(545455), pdf(309947), pdf(391048), pdf(391822), pdf(620693), pdf(254617), pdf(310332), pdf(564981), pdf(1105510), pdf(307548), pdf(331560), pdf(361112), pdf(1924348), pdf(571996), pdf(515877), pdf(331133), pdf(239010), pdf(191228), pdf(244193), pdf(431872), pdf(468694), pdf(510122), pdf(310623), pdf(1181715), pdf(213857), pdf(1628862), pdf(383836), pdf(454174), pdf(430508), pdf(502637), pdf(409024), pdf(767110), pdf(1081575), pdf(478868), pdf(403627), pdf(546560)Available download formats
    Dataset updated
    Apr 7, 2020
    Dataset provided by
    Qualitative Data Repository
    Authors
    Marc Trachtenberg; Marc Trachtenberg
    License

    https://qdr.syr.edu/policies/qdr-standard-access-conditionshttps://qdr.syr.edu/policies/qdr-standard-access-conditions

    Time period covered
    Jan 1, 1945 - Dec 31, 1963
    Area covered
    Russian Federation, France, Germany, United Kingdom, United States
    Description

    This data collection - The Trachtenberg Papers - broadly concerns Cold War policy from the end of WWII to 1964. The data was accumulated in order to write several books and articles relating to Cold War relations during this pivotal period, most notably A Constructed Peace: The Making of the European Settlement, 1945-1963 (Princeton: Princeton University Press, February 1999). This particular data project encompasses Cold War documents from the United Kingdom. Data between 1945 and 1959 are organized in three folders, each folder including data for a five year period. Data for the years 1960, 1961, 1962, and 1963, are organized in four folders, one for each year.

  17. Q

    Data for: Factors perceived as influencing local health department...

    • data.qdr.syr.edu
    Updated Nov 1, 2023
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    Jonathan Purtle; Jonathan Purtle (2023). Data for: Factors perceived as influencing local health department involvement in mental health [Dataset]. http://doi.org/10.5064/F6SUMYSH
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    application/x-json-hypothesis(44745), pdf(125038)Available download formats
    Dataset updated
    Nov 1, 2023
    Dataset provided by
    Qualitative Data Repository
    Authors
    Jonathan Purtle; Jonathan Purtle
    License

    https://qdr.syr.edu/policies/qdr-standard-access-conditionshttps://qdr.syr.edu/policies/qdr-standard-access-conditions

    Time period covered
    2014 - 2015
    Area covered
    United States
    Dataset funded by
    National Institute of Mental Health
    Robert Wood Johnson Foundation
    Description

    This is an Annotation for Transparent Inquiry (ATI) data project. The annotated article can be viewed on the publisher's website. You will need to use the Chrome browser with the Hypothesis extension installed to view the ATI annotations Local health departments (LHDs) are potentially well positioned to implement population-based approaches to mental health promotion, but research indicates that most LHDs are not substantively engaged in activities to address mental health. Little is known about factors that influence if and how LHDs address population mental health. The objectives of this qualitative study were to (1) understand how LHD officials perceive population mental health; (2) identify factors that influence these perceptions and LHD activities to address population mental health; and (3) develop an empirically derived conceptual framework of LHD engagement in population mental health. Twenty-one semi-structured interviews were conducted with a purposive sample of LHD officials and analyzed using thematic content analysis in 2014–2015. Transcripts were double coded, inter-rater reliability statistics were calculated, and categories with κ ≥0.60 were retained.

  18. Q

    Data for: Health practitioners’ readiness to address domestic violence and...

    • data.qdr.syr.edu
    bin, pdf, tsv, txt
    Updated Nov 1, 2023
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    Kelsey Hegarty; Kelsey Hegarty; Gemma McKibbin; Gemma McKibbin (2023). Data for: Health practitioners’ readiness to address domestic violence and abuse: A qualitative meta-synthesis [Dataset]. http://doi.org/10.5064/F6HY9R1Z
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    tsv(25415), bin(24510464), txt(5000), pdf(217955), pdf(199594), pdf(298545), pdf(202342), pdf(429058), pdf(204108), pdf(180746), pdf(177898), pdf(184382), pdf(237859), pdf(192650), pdf(189677), pdf(181508), pdf(173424), pdf(182703), pdf(175684), pdf(259868), pdf(175550), pdf(190837), bin(1181312), pdf(293960), pdf(206286), pdf(181007), pdf(216139), pdf(174119), pdf(287053), pdf(180063), pdf(246274), pdf(331666), pdf(181766), pdf(243440), pdf(188575), pdf(244507), pdf(318608), pdf(172519), pdf(177178), pdf(193057), pdf(207344), pdf(228316), pdf(178861), pdf(220425), pdf(199189), pdf(175665), pdf(186749), pdf(227691), pdf(182857), pdf(385785), pdf(176393)Available download formats
    Dataset updated
    Nov 1, 2023
    Dataset provided by
    Qualitative Data Repository
    Authors
    Kelsey Hegarty; Kelsey Hegarty; Gemma McKibbin; Gemma McKibbin
    License

    https://qdr.syr.edu/policies/qdr-standard-access-conditionshttps://qdr.syr.edu/policies/qdr-standard-access-conditions

    Time period covered
    Jan 1, 1992 - Dec 31, 2018
    Dataset funded by
    The NHMRC Safer Families Centre of Research Excellence
    Description

    Project Overview Health practitioners play an important role in identifying and responding to domestic violence and abuse (DVA). Despite a large amount of evidence about barriers and facilitators influencing health practitioners’ care of survivors of DVA, evidence about their readiness to address DVA has not been synthesised. This article reports a meta-synthesis of qualitative studies exploring the research question: What do health practitioners perceive enhances their readiness to address domestic violence and abuse? Multiple data bases were searched in June 2018. Inclusion criteria included: qualitative design; population of health practitioners in clinical settings; and a focus on intimate partner violence. Two reviewers independently screened articles and findings from included papers were synthesised according to the method of thematic synthesis. Forty-seven articles were included in the final sample, spanning 41 individual studies, four systematic reviews and two theses between the years of 1992 and 2018; mostly from high income countries. Five themes were identified as enhancing readiness of health practitioners to address DVA: Having a commitment; Adopting an advocacy approach; Trusting the relationship; Collaborating with a team; and Being supported by the health system. We then propose a health practitioners’ readiness framework called the CATCH Model (Commitment, Advocacy, Trust, Collaboration, Health system support). Applying this model to health practitioners’ different readiness for change (using Stage of Change framework) allows us to tailor facilitating strategies in the health setting to enable greater readiness to deal with intimate partner abuse.

  19. Q

    Data for: Carbon captured: How business and labor control climate politics

    • data.qdr.syr.edu
    mp4, pdf, txt
    Updated Jan 28, 2020
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    Mildenberger, Matto; Mildenberger, Matto (2020). Data for: Carbon captured: How business and labor control climate politics [Dataset]. http://doi.org/10.5064/F6GYLSON
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    pdf(80299), pdf(2338488), pdf(821794), pdf(983482), pdf(1787102), pdf(249935), pdf(169897), pdf(78764), pdf(604247), pdf(383681), pdf(2496227), pdf(750113), pdf(1356835), pdf(270497), pdf(465993), pdf(1928617), pdf(174182), pdf(1389072), pdf(170095), pdf(61445200), pdf(109023), pdf(1625786), pdf(11303848), pdf(5510277), pdf(894516), pdf(138911), pdf(502756), pdf(3152808), pdf(378001), pdf(175510), pdf(1079227), pdf(1629326), pdf(5102911), pdf(1381426), pdf(1565419), pdf(1450684), pdf(393469), pdf(778350), pdf(902684), pdf(6411945), pdf(111898), mp4(278778213), pdf(1103221), pdf(286352), pdf(550562), pdf(183981), pdf(502415), pdf(169669), pdf(128313), pdf(667486), pdf(328639), pdf(6918072), pdf(17129132), pdf(5927198), pdf(1229134), pdf(10065771), pdf(472719), pdf(118733), pdf(597737), pdf(4601825), pdf(439876), pdf(390867), pdf(2237285), pdf(196193), pdf(284379), pdf(133610), pdf(292781), pdf(630007), pdf(3617160), pdf(1105370), pdf(106642), pdf(1721715), pdf(6404532), pdf(38027534), pdf(1692162), pdf(291473), pdf(256437600), pdf(163363), pdf(3487022), pdf(218707), pdf(6656234), pdf(281373), pdf(6658650), pdf(985304), pdf(104775310), pdf(34970849), pdf(395002), pdf(126690921), pdf(358477), pdf(159843), pdf(1255869), pdf(1254825), pdf(169505), pdf(1036551), pdf(166836), pdf(1075538), pdf(158560), pdf(570016), pdf(92231), pdf(508114), pdf(747132), pdf(122305), pdf(1554499), pdf(1148010), pdf(3344977), pdf(289677), pdf(8809043), pdf(1075696), pdf(577903), pdf(382212), pdf(580610), pdf(2642088), pdf(106373), pdf(259178), pdf(3689424), pdf(1808247), pdf(552367), pdf(129941), pdf(897631), pdf(959527), pdf(197422), pdf(95911), pdf(34753752), pdf(382673), pdf(187239), pdf(9182525), pdf(1519999), pdf(118724), pdf(119537), pdf(1015140), pdf(197834), pdf(2304331), pdf(664654), pdf(3836286), pdf(4287898), pdf(7130541), pdf(26896528), pdf(112614), pdf(2403787), pdf(204085), pdf(2971814), pdf(52619171), pdf(214368), pdf(392546), mp4(241280), pdf(118973), pdf(1130677), pdf(3640388), pdf(395157), pdf(3354558), pdf(3269282), pdf(253193), pdf(1221368), pdf(1640658), pdf(152507), pdf(29224801), pdf(4340943), pdf(625369), pdf(122952), pdf(337514), pdf(26383122), pdf(27071327), mp4(2620024), pdf(15082172), pdf(372274), pdf(5062681), pdf(12834869), pdf(87525), pdf(547062), pdf(1103953), pdf(632003), pdf(434998), pdf(20387788), pdf(5028439), pdf(207571), pdf(623901), pdf(598332), pdf(904858), pdf(301987), pdf(1936622), pdf(1520304), pdf(721310), pdf(940683), pdf(163828), pdf(253666), pdf(101042), pdf(1256793), pdf(108806196), pdf(114873), pdf(5620615), pdf(94890), pdf(3914192), pdf(6021233), pdf(736299), pdf(1470602), pdf(166415), pdf(5154141), pdf(18773670), pdf(3294604), pdf(279098), pdf(753703), pdf(151056), pdf(5239236), pdf(820007), pdf(3847687), pdf(550569), pdf(152158), pdf(6726881), pdf(1107251), pdf(891944), pdf(18079836), pdf(118220653), txt(19737), pdf(1159260), pdf(25487581), pdf(2060535), pdf(8783388), pdf(30908), pdf(3432539), pdf(1492532), pdf(444137), pdf(108659), pdf(39185807), pdf(4429452), pdf(166330), pdf(1112482)Available download formats
    Dataset updated
    Jan 28, 2020
    Dataset provided by
    Qualitative Data Repository
    Authors
    Mildenberger, Matto; Mildenberger, Matto
    License

    https://qdr.syr.edu/policies/qdr-standard-access-conditionshttps://qdr.syr.edu/policies/qdr-standard-access-conditions

    Time period covered
    Jan 1, 1910 - Oct 31, 2017
    Area covered
    Canada, Japan, United Kingdom, United States, Australia, Norway, Germany
    Dataset funded by
    Social Science and Humanities Research Council of Canada Doctoral Fellowship
    Yale Institute for Biospheric Studies
    Yale Center for Business and the Environment
    Description

    This data project has been published in parallel to Mildenberger, M. 2020. Carbon Captured: How Business and Labor Control Climate Politics (Cambridge, MA: MIT Press). In this book, I advance a new theory to explain cross-national differences in the timing and content of climate reforms across advanced industrial economies. This book seeks to make the sources of its inferences as transparent as possible. In doing so it draws from best practices outlined by the American Political Science Association in its 2012 Council Statement on Openness in Political Science and in a 2013 Guideline for Data Access and Research Transparency for Qualitative Research in Political Science. This data project and its associated Transparency Appendix (TRAX) are key components of this effort. Where permitted by copyright, the data project provides digital copies of grey literatures, policy documents, and media reports referenced in the book or in the book's Transparency Appendix. Where copyright issues are involved (e.g. with respect to news clippings) I instead provide permanent web archives for each of these media clippings using the perma.cc service.

  20. Q

    Optimizing Openness in Human Participants Research: Harmonizing Standards...

    • data.qdr.syr.edu
    pdf, txt
    Updated Nov 1, 2023
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    Dessislava Kirilova; Dessislava Kirilova; Diana Kapiszewski; Diana Kapiszewski (2023). Optimizing Openness in Human Participants Research: Harmonizing Standards for Consent Agreements and Data Management Plans to Empower the Reuse of Sensitive Scientific Data [Dataset]. http://doi.org/10.5064/F6RQA7AQ
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    pdf(438561), pdf(342369), pdf(320814), pdf(338289), pdf(369179), pdf(461542), pdf(267937), txt(3460), pdf(139282), pdf(252243), pdf(310237), pdf(282364), pdf(399376), pdf(258133), pdf(157289), pdf(282245), pdf(366296), pdf(278300), pdf(275901), pdf(344458), pdf(364597), pdf(318478), pdf(402500), pdf(288485), pdf(175182), pdf(117396)Available download formats
    Dataset updated
    Nov 1, 2023
    Dataset provided by
    Qualitative Data Repository
    Authors
    Dessislava Kirilova; Dessislava Kirilova; Diana Kapiszewski; Diana Kapiszewski
    License

    https://qdr.syr.edu/policies/qdr-standard-access-conditionshttps://qdr.syr.edu/policies/qdr-standard-access-conditions

    Time period covered
    Feb 11, 2019 - Jul 3, 2019
    Area covered
    United States
    Dataset funded by
    National Science Foundation
    Description

    Project Summary The goal of the research project in which these data were created was to establish a baseline of understanding of the knowledge of and engagement on the topic of sharing of social, behavioral and educational research data, including sensitive data by institutional review board (IRB) professionals. We especially chose to hold these conversations in the period immediately after the revised federal Common Rule regulating human participant protections (https://www.hhs.gov/ohrp/regulations-and-policy/regulations/finalized-revisions-common-rule/index.html) came into force in early 2019. Data Overview The data project contains 17 individual interviews, summary notes from 2 focus groups and documentation (data narrative, recruitment email text, consent form, questionnaire, list of acronyms used by participants).

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Jennifer Mueller; Jennifer Mueller; Marielle Kirstein; Marielle Kirstein; Alicia VandeVusse; Alicia VandeVusse; Laura Lindberg; Laura Lindberg (2022). Data for: Improving Abortion Underreporting in the United States: A Cognitive Interview Study [Dataset]. http://doi.org/10.5064/F6V5VGX3

Data for: Improving Abortion Underreporting in the United States: A Cognitive Interview Study

Related Article
Explore at:
pdf(226100), txt(9537), pdf(891986), xlsx(18329), txt(0), pdf(129587), pdf(627327), pdf(211143), pdf(227696), pdf(265966), pdf(203483), pdf(101368)Available download formats
Dataset updated
Mar 17, 2022
Dataset provided by
Qualitative Data Repository
Authors
Jennifer Mueller; Jennifer Mueller; Marielle Kirstein; Marielle Kirstein; Alicia VandeVusse; Alicia VandeVusse; Laura Lindberg; Laura Lindberg
License

https://qdr.syr.edu/policies/qdr-restricted-access-conditionshttps://qdr.syr.edu/policies/qdr-restricted-access-conditions

Area covered
United States, United States
Dataset funded by
Eunice Kennedy Shriver National Institute Of Child Health & Human Development of the National Institutes of Health
Description

Project Summary: The purpose of this study was to inform experimental testing of new approaches for measuring abortion in surveys in the United States, by improving our understanding of how women interpret and respond to survey items asking them to report their abortion history. Using cognitive interviews, we developed, tested, and evaluated various question wordings, as well as conducted card sort and vignette activities to further discern how participants’ understand and classify abortion. We aimed to test questions to clarify which experiences to report as an abortion; reduce the stigma and sensitivity of abortion; reduce the sense of intrusiveness of asking about abortion; or increase the motivation to report. Question wordings were newly developed or modified versions of existing survey questions. Results from the cognitive interviews were used to develop an experimental survey to further explore how to improve the accuracy of abortion reporting. Research reported in this publication was supported by the Eunice Kennedy Shriver National Institute Of Child Health & Human Development of the National Institutes of Health under Award Number R01HD084473. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Data Overview: We conducted cognitive interviews with 64 cisgender women in suburban Wisconsin (N=35) in January 2020 and urban New Jersey (N=29) in February 2020. We selected the two study states because of differences in abortion climate and to avoid geographically-specific findings. Participants were recruited to participate in an interview on sexual and reproductive health (SRH) by a third-party recruiting agency. Eligible participants were between the ages of 18 and 49, assigned female at birth, identified as women, spoke English, lived in Wisconsin or New Jersey, and had ever had penile-vaginal sex. Additionally, respondents were asked if they ever had an abortion during the screening process. The decision to include women with various abortion histories was deliberate. We sought to include respondents who may not have disclosed their abortion during the screening process and wanted feedback from all women of reproductive age, as that is the target sample of the experimental survey. We included feedback from both groups of respondents and highlighted their differences when applicable. The study was reviewed and approved by the Guttmacher Institute’s Institutional Review Board. Interviews lasted about 60-90 minutes and were conducted in private rooms at conference and market research locations by two members of the research team (AV and JM; see Interviewer Identities document). Interviews were audio recorded. We obtained verbal consent from all study participants, and they completed a short sociodemographic questionnaire at the end of the interview. Participants received $150 cash as a token of appreciation for their time. Sixteen respondents demonstrated accurate understanding of data sharing and consented to having their data be publicly shared; therefore, these are the only transcripts made available here. Data Collection Overview: The cognitive interview included several sections. In the first section, we asked participants to respond to and provide feedback on various versions of questions about their abortion history. In this section, they disclosed their abortion history directly to the interviewer. In the second section, we asked participants to provide feedback on several different introductory text options that might come before a question about their abortion history. In the third section, we asked participants more general questions about how they would prefer to be asked about whether they’d had an abortion on a survey, as well as their definition of abortion and why some people may choose not to disclose their abortion history. In sections 4 and 5, we conducted a card sort activity and went through a series of vignettes to further discern participants’ understanding and classification of abortion. Each interview was digitally audio recorded (.mp3). The audio recordings were uploaded from the devices to a folder on the Guttmacher network. The audio recordings will be uploaded to the secure, password-protected servers of the professional transcription agency, Datalyst LLC., for transcription. The audio recordings were deleted from the Datalyst servers upon completion of transcription and certification by Guttmacher staff that transcription was accurate/complete. Transcripts were cleaned by one of two team members; during this process, they also removed any potentially identifying information. Audio recordings were deleted from the devices at the end of data collection. The interviewer electronically wrote up immediate thoughts and impressions post-interview in memos (.docx) using a predetermined memo shell that mirrored the major sections of the interview guide. At the end...

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