Qualitative Data Sharing: Data Repositories and Academic Libraries as Key Partners in Addressing Challenges
Qualitative Data Sharing: Data Repositories and Academic Libraries as Key Partners in Addressing Challenges
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DOI：
10.1177/0002764218784991
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发表时间：
2019-05-01
影响因子：
3.2
通讯作者：
Wutich, Amber
中科院分区：
文献类型：
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作者：
Mannheimer, Sara;Pienta, Amy;Wutich, Amber
数据共享越来越被认为有利于知识生产，因此联邦资助机构、私人资助者和期刊越来越需要数据共享。由于定性研究人员面临着分享数据的新期望，数据存储库和学术图书馆正在努力解决定性研究数据的具体挑战。本文描述了数据存储库和学术图书馆如何与研究人员合作，以支持与定性数据共享相关的三个挑战：（1）获得参与者对数据共享和学术重用的知情同意，（2）确保定性数据在法律和道德上共享，以及（3）共享无法去识别的数据。本文还描述了数据存储库和学术图书馆无法具体解决的定性数据共享的三个持续挑战-使用定性大数据的研究，版权问题和去语境化的风险。虽然数据存储库和学术图书馆无法为这三个持续挑战提供简单的解决方案，但它们可以与研究人员合作，并将他们与其他相关专家联系起来，以研究这些挑战。最后，本文建议数据存储库和学术图书馆可以帮助研究人员解决与道德和合法的定性数据共享相关的一些挑战。
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 article 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 article 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 cannot 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 article suggests that data repositories and academic libraries can help researchers address some of the challenges associated with ethical and lawful qualitative data sharing.