Objective(s): Momentum for open access to research is growing. Funding agencies and publishers are increasingly requiring researchers make their data and research outputs open and publicly available. However, clinical researchers struggle to find real-world examples of Open Data sharing. The aim of this 1 hr virtual workshop is to provide real-world examples of Open Data sharing for both qualitative and quantitative data. Specifically, participants will learn: 1. Primary challenges and successes when sharing quantitative and qualitative clinical research data. 2. Platforms available for open data sharing. 3. Ways to troubleshoot data sharing and publish from open data. Workshop Agenda: 1. “Data sharing during the COVID-19 pandemic” - Speaker: Srinivas Murthy, Clinical Associate Professor, Department of Pediatrics, Faculty of Medicine, University of British Columbia. Investigator, BC Children's Hospital 2. “Our experience with Open Data for the 'Integrating a neonatal healthcare package for Malawi' project.” - Speaker: Maggie Woo Kinshella, Global Health Research Coordinator, Department of Obstetrics and Gynaecology, BC Children’s and Women’s Hospital and University of British Columbia This workshop draws on work supported by the Digital Research Alliance of Canada. Data Description: Presentation slides, Workshop Video, and Workshop Communication Srinivas Murthy: Data sharing during the COVID-19 pandemic presentation and accompanying PowerPoint slides. Maggie Woo Kinshella: Our experience with Open Data for the 'Integrating a neonatal healthcare package for Malawi' project presentation and accompanying Powerpoint slides. This workshop was developed as part of Dr. Ansermino's Data Champions Pilot Project supported by the Digital Research Alliance of Canada. NOTE for restricted files: If you are not yet a CoLab member, please complete our membership application survey to gain access to restricted files within 2 business days. Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator on this page under "collaborate with the pediatric sepsis colab."

Data management is a critical aspect of empirical research. Unfortunately, principles of good data management are rarely taught to social scientists in a systematic way as part of their methods training. As a result, researchers often do things in an ad hoc fashion and have to learn from their mistakes.

The Qualitative Data Repository (QDR, www.qdr.org) presented a webinar on social science data management, with a special focus on keeping qualitative data safe and secure. The webinar will emphasize best practices with the aim of helping participants to save time and minimize frustration in their future research endeavors. We will cover the following topics:

1) The value of planning and Data Management Plans (DMPs)

2) Transparency and data documentation

3) Ethical, legal, and logistical challenges to sharing qualitative data and best practices to address them

4) Keeping data safe and secure.

Attribution: Parts of this presentation are based on slides used in a course co-taught by personnel from QDR and the UK Data Service. All materials provided under a CC-BY license.

This data set contains the replication data and supplements for the article "Knowing, Doing, and Feeling: A three-year, mixed-methods study of undergraduates’ information literacy development." The survey data is from two samples: - cross-sectional sample (different students at the same point in time) - longitudinal sample (the same students and different points in time)Surveys were distributed via Qualtrics during the students' first and sixth semesters. Quantitative and qualitative data were collected and used to describe students' IL development over 3 years. Statistics from the quantitative data were analyzed in SPSS. The qualitative data was coded and analyzed thematically in NVivo. The qualitative, textual data is from semi-structured interviews with sixth-semester students in psychology at UiT, both focus groups and individual interviews. All data were collected as part of the contact author's PhD research on information literacy (IL) at UiT. The following files are included in this data set: 1. A README file which explains the quantitative data files. (2 file formats: .txt, .pdf)2. The consent form for participants (in Norwegian). (2 file formats: .txt, .pdf)3. Six data files with survey results from UiT psychology undergraduate students for the cross-sectional (n=209) and longitudinal (n=56) samples, in 3 formats (.dat, .csv, .sav). The data was collected in Qualtrics from fall 2019 to fall 2022. 4. Interview guide for 3 focus group interviews. File format: .txt5. Interview guides for 7 individual interviews - first round (n=4) and second round (n=3). File format: .txt 6. The 21-item IL test (Tromsø Information Literacy Test = TILT), in English and Norwegian. TILT is used for assessing students' knowledge of three aspects of IL: evaluating sources, using sources, and seeking information. The test is multiple choice, with four alternative answers for each item. This test is a "KNOW-measure," intended to measure what students know about information literacy. (2 file formats: .txt, .pdf)7. Survey questions related to interest - specifically students' interest in being or becoming information literate - in 3 parts (all in English and Norwegian): a) information and questions about the 4 phases of interest; b) interest questionnaire with 26 items in 7 subscales (Tromsø Interest Questionnaire - TRIQ); c) Survey questions about IL and interest, need, and intent. (2 file formats: .txt, .pdf)8. Information about the assignment-based measures used to measure what students do in practice when evaluating and using sources. Students were evaluated with these measures in their first and sixth semesters. (2 file formats: .txt, .pdf)9. The Norwegain Centre for Research Data's (NSD) 2019 assessment of the notification form for personal data for the PhD research project. In Norwegian. (Format: .pdf)

Qualitative dataset for the study: Safety-Seeking Behaviors and Psychological Distress in Older Victims of Community-Crime: A Cross-Sectional Study Using a Novel Person-Reported MeasureThis dataset is for the qualitative component of the Person-Reported Safety-Seeking Behavior Measure (PRSBM). Older victims of community crime were asked whether they engaged in six types of behaviors since the crime: (checking, reassurance-seeking, rumination, avoidance, rituals, hypervigilance). If so, they were asked to describe their behaviors. Older victims were also asked to rate how frequently they engaged in each behavior and how much of change it was since the crime; the data for this is available in the corresponding quantitative dataset.

269 transcribed excerpts coded from 22 interviews to self-researchers for the study "Shared motivations, goals and values in the practice of personal science - A community perspective on self-tracking for empirical knowledge". Interviews with participants were conducted via video conferencing and were based on a list of open-ended questions, separated into key sections around participation and collaboration in personal science. Participants who agreed to be interviewed, gave informed consent in like with the ethics approval by the Inserm Institutional Review Board (IRB) for this study, and regarding this data set, previous agreement in compliance with privacy and anonymity requirements. Academic article based on this dataset: Senabre Hidalgo, E., Ball, M. P., Opoix, M., & Greshake Tzovaras, B. (2022). Shared motivations, goals and values in the practice of personal science: a community perspective on self-tracking for empirical knowledge. Humanities and Social Sciences Communications, 9(1), 1-12. https://doi.org/10.1057/s41599-022-01199-0

The data comprises of two datasets. The first consists of text files of anonymised transcripts from focus group discussions (FGDs) on livelihood activities, ecosystem services and the prevalent human and animal health problems in irrigated and non-irrigated areas in northeastern Kenya. The second comprises of scores from proportional piling exercises which showed the distribution of wealth categories and livestock species kept. The study was conducted between August and October, 2013 and the data were collected as open-ended meeting notes and audio clips captured using digital recorders. Written/thumb print consent was always obtained from each individual in the group. All the discussions were also recorded, with the participant's permission. Thirteen FGDs were held in the irrigated areas in Bura and Hola, Tana River County involving farmers who grew a variety of crops for subsistence and commercial purposes. The others were held in Ijara and Sangailu, Garissa County inhabited by transhumance pastoralists. Each group comprised of 10 to 12 people and the discussions were guided by a check list. The transcribed documents were formatted in Microsoft Word (2013) and saved as text files in preparation for analysis. The aim of the study was to collate perceptions of land use change and their effects on ecosystem services. The data were collected by enumerators trained by experienced researchers from the University of Nairobi and the International Livestock Research Institute (Kenya). This dataset is part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC). The research was funded by NERC project NE-J001570-1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). Additional funding was provided by the CGIAR Research Program Agriculture for Nutrition and Health.

This dataset contains data collected during a study ("Towards High-Value Datasets determination for data-driven development: a systematic literature review") conducted by Anastasija Nikiforova (University of Tartu), Nina Rizun, Magdalena Ciesielska (Gdańsk University of Technology), Charalampos Alexopoulos (University of the Aegean) and Andrea Miletič (University of Zagreb) It being made public both to act as supplementary data for "Towards High-Value Datasets determination for data-driven development: a systematic literature review" paper (pre-print is available in Open Access here -> https://arxiv.org/abs/2305.10234) and in order for other researchers to use these data in their own work.

The protocol is intended for the Systematic Literature review on the topic of High-value Datasets with the aim to gather information on how the topic of High-value datasets (HVD) and their determination has been reflected in the literature over the years and what has been found by these studies to date, incl. the indicators used in them, involved stakeholders, data-related aspects, and frameworks. The data in this dataset were collected in the result of the SLR over Scopus, Web of Science, and Digital Government Research library (DGRL) in 2023.

Methodology

To understand how HVD determination has been reflected in the literature over the years and what has been found by these studies to date, all relevant literature covering this topic has been studied. To this end, the SLR was carried out to by searching digital libraries covered by Scopus, Web of Science (WoS), Digital Government Research library (DGRL).

These databases were queried for keywords ("open data" OR "open government data") AND ("high-value data*" OR "high value data*"), which were applied to the article title, keywords, and abstract to limit the number of papers to those, where these objects were primary research objects rather than mentioned in the body, e.g., as a future work. After deduplication, 11 articles were found unique and were further checked for relevance. As a result, a total of 9 articles were further examined. Each study was independently examined by at least two authors.

To attain the objective of our study, we developed the protocol, where the information on each selected study was collected in four categories: (1) descriptive information, (2) approach- and research design- related information, (3) quality-related information, (4) HVD determination-related information.

Test procedure Each study was independently examined by at least two authors, where after the in-depth examination of the full-text of the article, the structured protocol has been filled for each study. The structure of the survey is available in the supplementary file available (see Protocol_HVD_SLR.odt, Protocol_HVD_SLR.docx) The data collected for each study by two researchers were then synthesized in one final version by the third researcher.

Description of the data in this data set

Protocol_HVD_SLR provides the structure of the protocol Spreadsheets #1 provides the filled protocol for relevant studies. Spreadsheet#2 provides the list of results after the search over three indexing databases, i.e. before filtering out irrelevant studies

The information on each selected study was collected in four categories: (1) descriptive information, (2) approach- and research design- related information, (3) quality-related information, (4) HVD determination-related information

Descriptive information
1) Article number - a study number, corresponding to the study number assigned in an Excel worksheet 2) Complete reference - the complete source information to refer to the study 3) Year of publication - the year in which the study was published 4) Journal article / conference paper / book chapter - the type of the paper -{journal article, conference paper, book chapter} 5) DOI / Website- a link to the website where the study can be found 6) Number of citations - the number of citations of the article in Google Scholar, Scopus, Web of Science 7) Availability in OA - availability of an article in the Open Access 8) Keywords - keywords of the paper as indicated by the authors 9) Relevance for this study - what is the relevance level of the article for this study? {high / medium / low}

Approach- and research design-related information 10) Objective / RQ - the research objective / aim, established research questions 11) Research method (including unit of analysis) - the methods used to collect data, including the unit of analy-sis (country, organisation, specific unit that has been ana-lysed, e.g., the number of use-cases, scope of the SLR etc.) 12) Contributions - the contributions of the study 13) Method - whether the study uses a qualitative, quantitative, or mixed methods approach? 14) Availability of the underlying research data- whether there is a reference to the publicly available underly-ing research data e.g., transcriptions of interviews, collected data, or explanation why these data are not shared? 15) Period under investigation - period (or moment) in which the study was conducted 16) Use of theory / theoretical concepts / approaches - does the study mention any theory / theoretical concepts / approaches? If any theory is mentioned, how is theory used in the study?

Quality- and relevance- related information
17) Quality concerns - whether there are any quality concerns (e.g., limited infor-mation about the research methods used)? 18) Primary research object - is the HVD a primary research object in the study? (primary - the paper is focused around the HVD determination, sec-ondary - mentioned but not studied (e.g., as part of discus-sion, future work etc.))

HVD determination-related information
19) HVD definition and type of value - how is the HVD defined in the article and / or any other equivalent term? 20) HVD indicators - what are the indicators to identify HVD? How were they identified? (components & relationships, “input -> output") 21) A framework for HVD determination - is there a framework presented for HVD identification? What components does it consist of and what are the rela-tionships between these components? (detailed description) 22) Stakeholders and their roles - what stakeholders or actors does HVD determination in-volve? What are their roles? 23) Data - what data do HVD cover? 24) Level (if relevant) - what is the level of the HVD determination covered in the article? (e.g., city, regional, national, international)

Format of the file .xls, .csv (for the first spreadsheet only), .odt, .docx

Licenses or restrictions CC-BY

For more info, see README.txt

Italian Lives (ITA.LI) is a quantitative and qualitative longitudinal survey carried out by the Department of Sociology and Social Research of the University of Milan-Bicocca. The survey is aimed at building a database on social change in Italy offering high-quality data to researchers working in several disciplinary fields. The longitudinal qualitative survey was carried out in 3 waves at regular intervals between October 2019 and July 2022. In total, 306 semi-narrative interviews were carried out with young people aged between 22 and 29, resident in Italy. The work aimed to contribute to the study of the life trajectories of young women and men who face the transition to adulthood, with the aim of investigating the multiple meanings of being young in Italy today. The thematic areas investigated were: - education - relationships (family, friendship, sentimental) - parenting - work - mobility (geographical and social) - use of social media and technology - relationship with politics and religion - well-being and covid-19. The second wave, conducted from November 1, 2020 to June 30, 2021, collected 103 interviews. For information on other waves: - first wave, from October 1, 2019 to June 30, 2020, 114 interviews; - third wave, from November 1, 2021 to July 31, 2022, 89 interviews. 103 individuals. Multi-stage stratified random sample and convenience sampling face to face interview

Interview transcripts. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: It is stored on the O drive- PRIV -IRBData - MaxwellDWDM. Format: IRB human subjects research data. This dataset is associated with the following publication: Matsler, A.M., K. Maxwell, and S. Henson. ‘Discarding well’ after disasters? Examination of disaster waste and debris management in the United States. Human Organization. Society for Applied Anthropology, Oklahoma City, OK, USA, 4(2): 133-144, (2025).

The dataset has three parts; quantitative data, transcripts of Online FGDs and Photovoice Group Discussions, and Photovoice Photographs. Quantitative data includes the outcome variable which consists of nine measures: 1) maintaining a 1-meter distance, 2) avoiding handshakes, 3) avoiding hugs, 4) avoiding public transportation, 5) working/studying from home, 6) avoiding gatherings and crowds, 7) postponing meetings, 8) avoiding visiting elderly people, and 9) praying at home. In addition, other variables in this data set are sociodemographic characteristics; COVID-19-related variables such as COVID-19 testing, knowledge of COVID-19, etc.; and religious and tradition-related activities such as breaking fast during Ramadan, joining Mudik tradition, etc. Qualitative data includes Online FGDs and Photovoice Group Discussions transcripts and Photovoice Photographs. Five Online FGDs transcripts and 10 transcripts for Photovoice. 29 Photographs of Photovoice are also available in a list.

Software ecosystems have become one of the most important ways to organize software development, and to maintain and reuse code packages. But coordination can be a major challenge in software ecosystems when packages change, since packages tend to be highly interdependent yet independently maintained. The culture of an ecosystem includes those values and practices associated with managing change. We conducted a survey of thousands of developers in more than a dozen ecosystems, asking them about the values and practices that make up their communities' distinctive cultures; as well as the perceived power of different stakeholders and perceived health of the community. This dataset release shares anonymized data from the survey.

The interview data was gathered for a project that investigated the practices of instructors who use quantitative data to teach undergraduate courses within the Social Sciences. The study was undertaken by employees of the University of California, Santa Barbara (UCSB) Library, who participated in this research project with 19 other colleges and universities across the U.S. under the direction of Ithaka S+R. Ithaka S+R is a New York-based research organization, which, among other goals, seeks to develop strategies, services, and products to meet evolving academic trends to support faculty and students.

The field of Social Sciences has been notoriously known for valuing the contextual component of data and increasingly entertaining more quantitative and computational approaches to research in response to the prevalence of data literacy skills needed to navigate both personal and professional contexts. Thus, this study becomes particularly timely to identify current instructors’ practi..., The project followed a qualitative and exploratory approach to understand current practices of faculty teaching with data. The study was IRB approved and was exempt by the UCSB’s Office of Research in July 2020 (Protocol 1-20-0491).Â

The identification and recruitment of potential participants took into account the selection criteria pre-established by Ithaka S+R: a) instructors of courses within the Social Sciences, considering the field as broadly defined, and making the best judgment in cases the discipline intersects with other fields; b) instructors who teach undergraduate courses or courses where most of the students are at the undergraduate level; c) instructors of any rank, including adjuncts and graduate students; as long as they were listed as instructors of record of the selected courses; d) instructors who teach courses were students engage with quantitative/computational data.Â

The sampling process followed a combination of strategies to more easily identify instructo..., The data folder contains 10Â pdf files with de-identified transcriptions of the interviews and the pdf files with the recruitment email and the interview guide.Â

Abstract copyright UK Data Service and data collection copyright owner.

This research project aims to provide an in-depth study of the problems encountered in developing quantitative socio-economic indicators for urban and regional policy analysis in Britain. The project consisted of two stages. The data from the first stage of the study are held under SN:3973.
The aims of this part of the study, the second stage, are to address two main objectives, through :
1. The compilation of a meta-database to assess the quality of information sources that are relevant to Local Economic Development (LED), which will provide useful guidelines for future public data compilation practice and will be of use to other researchers in the field.
2. The compilation of an up-to-date database of indicators for LED for the analysis of the following :
what extent the existence of information gaps in public statistical sources affects indicator research on LED;
which particular dimension of LED is most affected;
what other non-public sources of information are available for the measurement of LED;
what are the best data handling techniques to explore the statistical properties of indicators and to carry out preliminary validation analysis of the assembled database;
in what ways could innovative data processing and analysis enhance the interpretation of indicators and maximise the intelligence yielded from the information available;
in what form should indicators be aggregated to gear to the needs of policy-makers;
what are the most appropriate weighting methods to create multivariate indexes;
in what ways do different weighting methods affect the outcome of the final analysis.
Main Topics:

The data file for this study contains 61 variables from the 366 Local Authority Districts in England (before the 1996 local government reorganisation of boundaries). Apart from the LAD (Local Authority District) code and the matching UALAD (Unitary Authority and Local Authority District) code, the other 59 variables are indicators measuring different contributing factors to the process of LED. Eleven key factors were identified, through literature review and a survey of policy-makers, to be important to the process of LED :
locational factors, physical factors, infrastructure, human resources, finance and capital, knowledge and technology, industrial structure, business culture, community image and identity, institutional capacity and quality of life.

Standardisation was applied to the raw data to develop some indicators to enhance interpretation. In some cases, the raw data are expressed as a percentage share of the national sum; in other cases, the case value is expressed as a ratio of the national (English) average value.

In order to request access to this data please complete the data request form.* * University of Bristol staff should use this form instead. The ASK feasibility trial: a randomised controlled feasibility trial and process evaluation of a complex multicomponent intervention to improve AccesS to living-donor Kidney transplantation This was a two-arm, parallel group, pragmatic, individually-randomised, controlled, feasibility trial, comparing usual care with a multicomponent intervention designed to increase access to living-donor kidney transplantation. The trial was based at two UK hospitals: a transplanting hospital and a non-transplanting referral hospital. The trial recruited 62 participants. A mixed-methods parallel process evaluation was undertaken. 21 individuals were interviewed, detailed below: - 4 trial non-participants, 4 patients allocated to the intervention, 3 patients allocated to usual care, 6 family members who received the intervention, 4 healthcare professionals involved in trial and intervention delivery. 19 interviewees provided consent for data sharing. Their anonymised interview transcripts are available. 2 interviewees did not consent to data sharing and their interview transcripts are not available. This dataset is part of a series: ASK feasibility trial documents: https://doi.org/10.5523/bris.1u5ooi0iqmb5c26zwim8l7e8rm The ASK feasibility trial: CONSORT documents: https://doi.org/10.5523/bris.2iq6jzfkl6e1x2j1qgfbd2kkbb The ASK feasibility trial: Wellcome Open Research CONSORT checklist: https://doi.org/10.5523/bris.1m3uhbdfdrykh27iij5xck41le The ASK feasibility trial quantitative data: https://doi.org/10.5523/bris.2b9vlo0wejnsh2nfoa6fka66cx

This data release supports the paper titled, “Tungsten skarn potential of the Yukon-Tanana Uplands, Eastern Alaska, USA-A mineral resource assessment”, published via open-access license in the Journal of Geochemical Exploration and available at: https://doi.org/10.1016/j.gexplo.2020.106700. The data release includes GIS data that map potential for tungsten skarn mineralization in permissive tracts in the Yukon-Tanana Uplands, Eastern Alaska, along with tables listing keywords and procedures used to produce the permissive tracts and score them for mineral potential. Supplementary Data part A lists keywords used to extract permissive rock types from the Geologic Map of Alaska (Wilson et al., 2015) to generate the permissive tract for tungsten skarn. Supplementary Data part B describes the tract polishing procedures. Supplementary Data part C lists the parameters for scoring tungsten skarn mineralization potential within the permissive tract features. The GIS data are encapsulated in a file geodatabase called AK_Wskarn_tract.gdb and are also available in the shapefile and KML formats. The geodatabase contains three datasets. The polygon feature class “primary_attributes” contains the scored tungsten skarn permissive tract subdivided by National Hydrography Dataset HUC12 drainages. A related table, “qualitative_assessment” contains detailed scoring information for each feature. The point feature class “mineral_sites_ranked” contains W-bearing mineral sites pulled from the Alaska Resource Data File with additional fields added for this study. The GIS data folder also includes the Python script used to score potential. The datasets and methods are described in detail in the accompanying paper.

Living With Data (https://livingwithdata.org/current-research) was a research project funded by The Nuffield Foundation. It aimed to understand people’s perceptions of how data about them is collected, analysed, shared and used, and how these processes could be improved. The term ‘data uses’ was used as a short and accessible way of talking to people about these processes. The Living With Data website includes a full description of the research aims and of the methods used, and links to all publications that resulted from the project.

The EDNA project was developed to consider the political, economic and moral configuration of egg donation for fertility treatment in the UK, Belgium and Spain. Europe was selected as the site for the study because of the relative lack of research relating to the organisation and practice of egg provision in this context and due to the unique constellation of regulatory oversight for member states who are subject to the requirements of the EU Tissue and Cells Directive. The study was based on a constructivist-interpretive epistemology and employed a sequential multiple-method design to explore processes and experiences of egg donation. Phase one involved mapping policy in the three countries and across Europe, stakeholder interviews and a literature review. Phase two involved analysis of clinic websites and specifically their online recruitment materials in the three countries. Phase three involved qualitative interviews with professionals and egg providers to understand perceptions, experiences and moral reasoning amongst those involved in the practice, and phase four involved stakeholder workshops and dissemination activities. Ethical approval for the study was granted by De Montfort University (ref 1989), Ghent University and CSIC.IVF with donor eggs was first intended for use with younger women suffering from ovarian failure or dysfunction. More recently there has been a sharp increase in use of donor eggs for women with age-related infertility, and a growing demand among gay male couples who combine the use of an egg donor and a surrogate in order to have a child. The increase in egg donation treatment has been enhanced by developments in freezing and storage techniques, meaning eggs can now be used independently of the time and place of their retrieval. Donated eggs are now used in over 74,000 IVF treatment cycles in Europe, yet little is known about the motivations, decision-making and experiences of women who provide their eggs for use in infertility treatment, particularly in the European context. The growing use of egg donation treatment is the subject of fierce political and ethical debate and presents a number of dilemmas for practice professionals and policy makers. While the selling of human eggs in Europe is formally prohibited according to EU legislation ('reasonable compensation' for egg providers is permitted), there is considerable variation in the interpretation of relevant regulations between countries, resulting in significant differences in practice. The UK, Belgium and Spain represent three countries at the cutting edge of technological developments in the infertility field but which have developed differing practices relating to how egg donation is practiced and governed. The overall aim of this study is to explore the social, political, economic and moral configuration of egg donation in the UK, Belgium and Spain. Our research questions are: How are egg donation practices shaped by national economic, political, cultural and moral contexts? How do new reproductive subjectivities emerge as a result of (gendered) socio-technical processes such as egg donation? How do egg providers understand and frame egg donation in the context of infertility treatment and how is their moral reasoning shaped by a neo-liberal, bio-economic context? What is the role of professional rationalities and commercial choreographies in a global reproductive marketplace? How can a comparison of contrasting policy and practice contexts facilitate improvements in egg donation? The study is largely qualitative and uses multiple methods of data collection, organised across five phases, to achieve its objectives. Phase one is a context-setting phase which will involve: reviewing the small number of existing studies; a detailed analysis of relevant policies and regulations about donation; and interviews with key European and country-level stakeholders. Phase two will involve analysis of donor recruitment and marketing materials to explore how donation is represented and to gain insight into recruitment practices. Phase three comprises detailed interviews with 75 women who have provided their eggs as well as interviews with professionals involved in donation. It will explore the experiences, motivations and ethical decision-making of women who provide their eggs as well as generating evidence about the practical, political and economic organisation of donation in the UK, Belgium and Spain. The objective of Phase four is to synthesise the findings from the previous phases for discussion at two workshops held in collaboration with key stakeholders and designed to help us develop recommendations from the study. Phase five will include an end of project conference and further dissemination. Stakeholders will be engaged throughout, via a specially convened advisory group. As well as developing theories about the provision and commercialization of human tissue, the findings will be used to directly inform policy and practice in the UK and Europe. Beneficiaries therefore include policy makers, infertility clinicians, egg providers and related advocacy organisations. The EDNA project was developed to consider the political, economic and moral configuration of egg donation for fertility treatment in the UK, Belgium and Spain. Europe was selected as the site for the study because of the relative lack of research relating to the organisation and practice of egg provision in this context and due to the unique constellation of regulatory oversight for member states who are subject to the requirements of the EU Tissue and Cells Directive. The study was based on a constructivist-interpretive epistemology and employed a sequential multiple-method design to explore processes and experiences of egg donation. Phase one involved mapping policy in the three countries and across Europe, stakeholder interviews and a literature review. Phase two involved analysis of clinic websites and specifically their online recruitment materials in the three countries. Phase three involved qualitative interviews with professionals and egg providers to understand perceptions, experiences and moral reasoning amongst those involved in the practice, and phase four involved stakeholder workshops and dissemination activities. Ethical approval for the study was granted by De Montfort University (ref 1989), Ghent University and CSIC.

Abstract As part of a project in which we designed, developed, and validated a monitoring system of school climate, the present study evaluates the system based on the meanings constructed by its users, in order to improve future actions. 17 group interviews in 15 schools, plus an in-depth interview to the Community Coordinator School Coexistence were performed. Results: Participating schools indicate that the highlight of the monitoring system is the delivery of valid information that allow evidence-based decision making processes. This in turn allows schools to construe a more complex view of themselves. Discussions: Schools place, in the center of school improvement, the school itself, and emphasize that effectiveness is only possible if the prioritization of needs arises from the school itself.

This qualitative dataset contains the transcripts of 43 interviews that have been conducted with members of social food initiatives (e.g. community gardens and orchards, food assistance, social restaurants, food education projects, social employment trajectories, fair trade campaigns, and so on) in the city of Groningen, as well as the interview guide and the information sheet and consent form that have been used during data collection. In addition, the upload includes the interview guide, posters, assessment table, information sheet and consent form that have been used in a two-part focus group with 3 food policy coordinators of the municipality of Groningen. The data was collected from November 2019 till March 2020. The transcripts have been analysed in NVivo (qualitative data analysis software).The link to and abstract of the paper based on this dataset will be provided when our manuscript gets published.

This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 765389.

Project webpage: https://recoms.eu/

The dataset contains the qualitative coding of 42 data-intensive studies on crowdfunding published in Chinese and International journals.