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Qualitative Data Sharing: Data Repositories and Academic Libraries as Key Partners in Addressing Challenges
Sara Mannheimer1, Amy Pienta2, Dessislava Kirilova3
1Montana State University.
The American Behavioral Scientist
|November 7, 2019
Summary
Academic libraries and data repositories can help qualitative researchers navigate data sharing challenges, including informed consent and ethical data use. They also connect researchers with experts for complex issues like big data and copyright.
Area of Science:
- Social Sciences
- Information Science
Background:
- Data sharing is increasingly mandated by funders and journals.
- Qualitative researchers face unique challenges in data sharing.
- Data repositories and libraries are adapting to support these needs.
Purpose of the Study:
- To outline how data repositories and academic libraries can assist qualitative researchers with data sharing.
- To identify specific challenges in qualitative data sharing that institutions can address.
- To acknowledge ongoing challenges that require broader collaboration.
Main Methods:
- The paper discusses strategies for addressing informed consent for data sharing and reuse.
- It examines methods for ensuring legal and ethical sharing of qualitative data.
- It explores approaches for sharing qualitative data that cannot be deidentified.
Main Results:
- Data repositories and libraries can support researchers in obtaining informed consent.
- They can facilitate legal and ethical qualitative data sharing practices.
- They can assist in sharing non-deidentified qualitative data.
Conclusions:
- Institutions can help mitigate several challenges in qualitative data sharing.
- They can connect researchers with specialists for complex issues like big data and copyright.
- Partnerships are key to advancing ethical and lawful qualitative data sharing.
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