Qualitative Data Sharing (QDS) Project Series

collection: series

About this Collection

The Qualitative Data Sharing (QDS) Project was funded by the National Human Genome Research Institute [R01 HG009351; PI James DuBois]. The project was carried out by a collaborative team of researchers at the Bioethics Research Center (BRC) at Washington University School of Medicine in St. Louis, Washington University’s Institute for Informatics (I2), and the Inter-university Consortium for Political and Social Research (ICPSR) at the University of Michigan.

Qualitative research data are rarely shared. Concerns exist regarding the sensitivity of data, participant confidentiality, data ownership, and the time burden and cost of de-identifying data. However, increased data sharing is required by some funding agencies, and will improve transparency, promote secondary data analysis, and facilitate research training. Our QDS team worked to identify and reduce ethical and practical barriers to sharing qualitative research data in health sciences research. The project team developed specific QDS guidelines and pipelines for data deidentification, deposit, and sharing. Additionally, the team developed and tested Qualitative Data Sharing (QuaDS) Software to support qualitative data de-identification. The datasets in this series were de-identified using the QuaDS Software and the project’s QDS guidelines.

Questions or comments? Please visit www.qdstoolkit.org for further information or to contact us.

Studies

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Research Exemplar Project, United States, 2017

The Research Exemplar Project was a qualitative study using semi-structured interviews followed by thematic analysis. In this study, 52 federally-funded researchers in the United States identified as exemplars by peers provided their perspectives on building effective, productive, and high-quality working relationships and research teams. The purpose was to study the behaviors, practices, and priorities the exemplars use to promote high-quality and impactful research and to uphold standards of research integrity and compliance in their research labs. These behaviors help to elucidate leadership and management practices that foster the production of excellent research. The analysis focused on thematic analysis of behaviors, practices, and individual characteristics reflected in the interviews. Quantitative demographic information such as age group, gender, academic rank, race, ethnicity, and education level was also collected.
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Sharing Qualitative Research Data: Interviews with Research Participants, United States, 2018

This study uses data from demographic surveys and semi-structured, in-depth qualitative interviews with 30 individuals who had experience participating in sensitive qualitative research studies to explore their understanding and concerns about qualitative data sharing. Participants were recruited from a research volunteer registry based in the Midwestern United States for an online pre-interview demographics survey and a phone interview.
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Teaching with Data in the Social Sciences, St. Louis, Missouri, 2020-2021

The Ithaka S+R study Teaching with Data in the Social Sciences (TDSS) built on Ithaka's S+R's ongoing research program to investigate teaching practices and support needs across multiple disciplines within higher education. The goals were to understand teaching of foundational skills necessary for success in a data-driven world; how to help students achieve data literacy; how to facilitate finding datasets; and identifying tools to help students manipulate, understand, and visualize data. Twenty institutions contributed to the overall project. This collection contains project data from Washington University in St. Louis. The university research team conducted semi-structured interviews with 13 instructors who, at the time of study, taught with data to undergraduates in the social sciences (Anthropology, Psychology, Political Science, Sociology, History, Business, Economics).

Variables

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