Research Data in Norway: How Do Expectations, Demands and Solutions Correspond in the Knowledge Infrastructure for Research Data?

Kvale, Live

doi:10.1007/978-3-319-67008-9_58

Cited by 1 publication

(1 citation statement)

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“…Feedback on a draft version of the consent form given to participants was solicited from the Norwegian National Privacy Advisors' Services (NSD/SIKT) which had no objections or comments on the form. In this consent form, the participants were also asked how they felt about participating in the study (L. Kvale, 2021). 21 participants granted permission to share all or parts of their data, while three participants did not respond to the consent form so their data were not shared.…”

Section: Methodsmentioning

confidence: 99%

Sharing Qualitative Interview Data in Dialogue with Research Participants

Kvale,

Pharo,

Darch

2023

Proceedings of the Association for Information Science and Tech

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Research data sharing is embedded in policies, guidelines and requirements commonly promoted by research funding organizations that demand data to be “as open as possible, as closed as necessary” and FAIR. This paper discusses the challenges of balancing privacy protection with data sharing in a PhD project involving long‐tail, small‐sized qualitative human subjects' data. Based on experiences and feedback from project participants, we argue that privacy protection is about respecting the participants and their self‐image. This can be achieved through dialogue and involvement of the participants building on the principles of shared stewardship. Further, we suggest that de‐identification and plain language consent materials are better at protecting privacy than anonymisation, which in a digital data environment is difficult to achieve and not necessarily a sensible approach for qualitative data, where the gold is in the details. The literature indicates that it matters to participants whether data are reused for research or other purposes, and that they trust the institutions. This supports our claim that research data services must find better solutions for restricted sharing when necessary.

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Section: Methodsmentioning

confidence: 99%