Policies by the National Institutes of Health and the National Science Foundation, as well as scandals surrounding failures to reproduce the findings of key studies in psychology, have generated increased calls for sharing research data. Most of these discussions have focused on quantitative, rather than qualitative, research data. This paper examines scientific, ethical, and policy issues surrounding sharing qualitative research data. We consider advantages of sharing data, including enabling verification of findings, promoting new research in an economical manner, supporting research education, and fostering public trust in science. We then examine standard procedures for archiving and sharing data, such as anonymizing data and establishing data use agreements. Finally, we engage a series of concerns with sharing qualitative research data such as the importance of relationships in interpreting data, the risk of re-identifying participants, issues surrounding consent and data ownership, and the burden of data documentation and depositing on researchers. For each concern, we identify options that enable data sharing or describe conditions under which select data might be withheld from a data repository. We conclude by suggesting that the default assumption should be that qualitative data will be shared unless concerns exist that cannot be addressed through standard data depositing practices such as anonymizing data or through data use agreements.
Qualitative data provide rich information on research questions in diverse fields. Recent calls for increased transparency and openness in research emphasize data sharing. However, qualitative data sharing has yet to become the norm internationally and is particularly uncommon in the United States. Guidance for archiving and secondary use of qualitative data is required for progress in this regard. In this study, we review the benefits and concerns associated with qualitative data sharing and then describe the results of a content analysis of guidelines from international repositories that archive qualitative data. A minority of repositories provide qualitative data sharing guidelines. Of the guidelines available, there is substantial variation in whether specific topics are addressed. Some topics, such as removing direct identifiers, are consistently addressed, while others, such as providing an anonymization log, are not. We discuss the implications of our study for education, best practices, and future research.
In this article, we offer a reply to the three commentaries on our article, "Is It Time to Share Qualitative Research Data?" (DuBois, Strait, & Walsh, 2018). We agree with the commenters on many points, including the need to honor relationships with communities, the need to protect participants from harm, and the usefulness of having a framework for data sharing that is informed by quality standards. We also respond to several areas of apparent disagreement regarding the need to be accountable to those who fund and consume science, the possibility that many participants-much like authors-prefer that their contributions to science be broadly disseminated and presented in proper context, and the common legal fact of institutional ownership of research data in the United States. We conclude that it will not be possible to share all data in a responsible manner but that this does not prevent a change in our default assumption regarding qualitative data sharing. In general, data should be shared unless compelling concerns exist that cannot be addressed adequately.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.