What is it about?
This study examines how 28 established researchers across different disciplines process and analyse, document and share research data. It shows that research data and RDM practices take shape differently across projects depending on how knowledge is produced. These differences do not follow disciplinary boundaries neatly: projects within the same field may differ substantially, while projects in different fields may rely on similar infrastructures, standards and ways of working.
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Why is it important?
Universities often organise RDM around common lifecycle models, policies and guidelines. This study shows that the same RDM solution is not equally appropriate for all research projects because documentation and sharing are closely connected to project-specific knowledge-production practices. Common principles remain important, but RDM support should also take account of how data and research objects are actually produced within projects.
Read the Original
This page is a summary of: Research data lifecycles in practice: constructing knowledge across epistemic cultures, Journal of Documentation, October 2026, Emerald,
DOI: 10.1108/jd-07-2026-0398.
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