Qualitative Research Guide

This article examines ethical and practical issues encountered by UK-based psychologists utilizing open qualitative datasets.

This mixed method NIH DMS plan was submitted by UCSF PI Theresa Allison and can be used as an example.

This is a recording of a session hosted by UCSF HRPP and UCSF Library about the impact of the NIH Data Management and Sharing policy on qualitative researchers

Example Data Management Plans from qualitative researchers. Note that these do not follow the NIH format but have similar language that can serve as inspiration.

This 2020 article by Mozersky et al. presents findings from interviews with 30 individuals who participated in sensitive qualitative studies to explore their understanding and concerns regarding qualitative data sharing. The vast majority supported sharing qualitative data so long as their data were deidentified and shared only among researchers. However, they raised concerns about confidentiality if the data were not adequately deidentified and about misuse by secondary users if data were shared beyond the research community.

Recording of a UCSF webinar with the Qualitative Data Repository (QDR).

This guide from the Qualitative Data Repository discusses best practices for dealing with direct and indirect identifiers in research

Guidance on de-identifying qualitative data from the Social Science research Council (SSRC)

ICPSR repository guide to preparing data for sharing

The Qualitative Data Repository (QDR) is a dedicated archive for storing and sharing digital data (and accompanying documentation) generated or collected through qualitative and multi-method research in the social sciences. Submitted datasets undergo rigorous curation and can be made available via various levels of access restrictions. Free for UCSF researchers through our institutional membership. Read more about UCSF institutional membership

A service of the Inter-university Consortium for Political and Social Research (ICPSR), openICPSR is a self-publishing repository for social, behavioral, and health sciences research data. Researchers with sensitive datasets can use openICPSR's restricted-use data options to securely share their research with qualified investigators.

Dryad is an open-source, research data curation and publication platform. UCSF is a proud partner of Dryad and offers Dryad as a free service for all our researchers to publish and archive their data. Datasets published in Dryad receive a citation and can be versioned at any time. Dryad is integrated with hundreds of journals and is an easy way to both publish data and comply with funder and publisher mandates.

Language for grants: Dryad is an NIH-compliant repository that ensures long-term preservation and access with Digital Object Identifiers (DOIs), versioning, creative commons licenses, ORCID and Fundref identifiers, and search engine discoverability.