ArticleThe American behavioral scientist2019
Qualitative Data Sharing: Data Repositories and Academic Libraries as Key Partners in Addressing Challenges.
Article in The American behavioral scientist, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed.
- What matters most to people living with epilepsy? A rapid review of qualitative research relating to health outcomes.Epilepsia · 2025Review
- Open science practices among early-career human-computer interaction researchers in the US.PloS one · 2025Article
- Exploring barriers and ethical challenges to medical data sharing: perspectives from Chinese researchers.BMC medical ethics · 2024Article
- Data as scientific currency: Challenges experienced by researchers with sharing health data in sub-Saharan Africa.PLOS digital health · 2024Article
- Trust as moral currency: Perspectives of health researchers in sub-Saharan Africa on strategies to promote equitable data sharing.PLOS digital health · 2024Article
- Publishing publicly available interview data: an empirical example of the experience of publishing interview data.Frontiers in sociology · 2024Article
- Exchanging words: Engaging the challenges of sharing qualitative research data.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- What prevents us from reusing medical real-world data in research.Scientific data · 2023Article
- Potentially Identifying Variables Reported in 100 Qualitative Health Research Articles: Implications for Data Sharing and Secondary Analysis.Forum, qualitative social research · 2023Article
- Systematic reviewers' perspectives on sharing review data, analytic code, and other materials: A survey.Cochrane evidence synthesis and methods · 2023Article
- Ethical Issues in Social Science Research Employing Big Data.Science and engineering ethics · 2022Article
- Sharing social media data: The role of past experiences, attitudes, norms, and perceived behavioral control.Frontiers in big data · 2022Article
- Open science practices in general and internal medicine journals, an observational study.PloS one · 2022Article
- Barriers and facilitators to qualitative data sharing in the United States: A survey of qualitative researchers.PloS one · 2021Article
- Open Accessibility in Education Research: Enhancing the Credibility, Equity, Impact, and Efficiency of Research.Educational psychologist · 2021Article
- Responsible, practical genomic data sharing that accelerates research.Nature reviews. Genetics · 2020Review
- Are we ready to share qualitative research data? Knowledge and preparedness among qualitative researchers, IRB Members, and data repository curators.IASSIST quarterly · 2020Article
- Open Developmental Science: An Overview and Annotated Reading List.Infant and child developmentArticle
- Data Sharing in Education Science.AERA openArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Data sharing is increasingly perceived to be beneficial to knowledge production, and is therefore increasingly required by federal funding agencies, private funders, and journals. As qualitative researchers are faced with new expectations to share their data, data repositories and academic libraries are working to address the specific challenges of qualitative research data. This paper describes how data repositories and academic libraries can partner with researchers to support three challenges associated with qualitative data sharing: (1) obtaining informed consent from participants for data sharing and scholarly reuse; (2) ensuring that qualitative data are legally and ethically shared; and (3) sharing data that cannot be deidentified. This paper also describes three continuing challenges of qualitative data sharing that data repositories and academic libraries cannot specifically address-research using qualitative big data, copyright concerns, and risk of decontextualization. While data repositories and academic libraries can't provide easy solutions to these three continuing challenges, they can partner with researchers and connect them with other relevant specialists to examine these challenges. Ultimately, this paper suggests that data repositories and academic libraries can help researchers address some of the challenges associated with ethical and lawful qualitative data sharing.
Identifiers
31693016PMC6830543What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.