Supporting data for: Sharing data from human communities – the importance of understanding the impact of Motivation, Ownership, Vulnerability and Emotions (MOVE - IT) (doi:10.18710/6MLFBE)

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Supporting data for: Sharing data from human communities – the importance of understanding the impact of Motivation, Ownership, Vulnerability and Emotions (MOVE - IT)

doi:10.18710/6MLFBE

DataverseNO

2026-08-06

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Kvale, Live Håndlykken; Specht, Alison; Bezuidenhout, Louise; Erkan, Berna Burcak Basbug; Mukasa, Norman; Murray, Virginia; Nidhi Nagabhatia; Ødegaard, Ingvill Constanze, 2026, "Supporting data for: Sharing data from human communities – the importance of understanding the impact of Motivation, Ownership, Vulnerability and Emotions (MOVE - IT)", https://doi.org/10.18710/6MLFBE, DataverseNO, V1

Supporting data for: Sharing data from human communities – the importance of understanding the impact of Motivation, Ownership, Vulnerability and Emotions (MOVE - IT)

doi:10.18710/6MLFBE

Kvale, Live Håndlykken (University of Oslo)

Specht, Alison (Terrestrial Ecosystem Research Network, the University of Queensland)

Bezuidenhout, Louise (Leiden University)

Erkan, Berna Burcak Basbug (Middle East Technical University)

Mukasa, Norman (Middle East Technical University)

Murray, Virginia (University College London)

Nidhi Nagabhatia (UNU CRIS Belgium)

Ødegaard, Ingvill Constanze (UNU CRIS Belgium)

University of Oslo

DataverseNO

University of Oslo

Kvale, Live Håndlykken

Kvale, Live Håndlykken

2026-08-04

https://doi.org/10.18710/6MLFBE

Social Sciences, Research data management, Vulnerable groups, Data sharing, Research ethics, Data ethics, Bibliography, Open Science, Data policy

We conducted a structured review of the literature followed by thematic analysis. Research on research data sharing is published across multiple research domains, making complete overview of existing scholarship difficult to achieve. This prevented us from doing a formal systematic review but rather an overview of different approaches to ethical data sharing from a range of communities. We emphasised transparency in search strategy, selection, and thematic interpretation to generate a rigorous narrative synthesis. We used the Web of Science (WoS) database to search for relevant literature on research data ethics across research domains. This search provided an overview of the current landscape and we supplemented it with literature from reference lists and by knowledge of the authors. Three searches were conducted in May 2025 and updated in May 2026 resulting in 715 results in 2025, and an additional 54 in 2026. We then browsed abstracts and titles excluding non-relevant hits, resulting in 65 papers from the original search, and additionally 15 from 2025 and 2026. Additionally we added 21 articles based on references to relevant papers and relevant articles known to the authors, resulting in 101 articles. A second screening which included a more detailed reading of the papers limited this to 53 documents on ethical aspects of data sharing from human subjects. Excluded documents were either not relevant to our research question or did not report on findings from empirical research. We conducted qualitative thematic analysis of the selected literature to identify how concepts including privacy, motivations, emotions, ownership and vulnerability were addressed. And further identify existing guidance on governance, principles, and guidelines, and where they fall short in addressing relational and human factors such as motivation, ownership, vulnerability, and emotions. This datasett contains the bibliographies of the 101 and the 53 documents, and the codes and frequency in the material. In addition illustrations used in the paper are uploaded as .png files

2025-05-01-2026-05-30

Bibliography from a structured literature review; Illustrations

Kvale, Live Håndlykken

<a href="http://creativecommons.org/licenses/by/4.0">CC BY 4.0</a>

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00_README.txt

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Codes-and-frequency.txt

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Codes and frequency in included documents

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Literature-broad.txt

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Bibliography of 101 documents analysed

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Literature-coded.txt

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Coding of the 54 documents included in the review

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Literature-included-items.txt

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Bibliography of 54 documents included in the review

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MOVE-IT-ill-with-CARE-and-FAIR.png

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Illustration of the MOVE-IT principles in the context of FAIR and CARE

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MOVE-IT-ill.png

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Illustration of the MOVE-IT principles

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The-ethical-context-of MOVE-IT.png

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The ethical context of the MOVE-IT principles -- Based on: ALLEA - All European Academies. (2023). The European Code of Conduct for Research Integrity. ALLEA - All European Academies. https://doi.org/10.26356/ECoC Nissenbaum. (2010). Privacy in Context: Technology, Policy, and the Integrity of Social Life. Stanford University press. U.S. Department of Health, Education, and Welfare. (1979). The Belmont Report. U.S. Department of Homeland Security. (2012). The Menlo Report: Ethical Principles Guiding Information and Communication Technology Research.

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