Data Management Planning in a Cross-Disciplinary Research Environment: More Than a Tick Box Exercise?

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Authors: David Leaver, Deena Catherine Mobbs, Nichols, Matthew, Shona Ferguson, Hannah Dean, Rick C. Stuart
Cited by: 0

Abstract

In cross-disciplinary and data-intensive research environments, effective data management is essential. We have reimagined data management planning as a collaborative, evolving process that underpins the generation of FAIR data and the responsible, sustainable use of AI, transforming it from a compliance task into a valuable tool in the research lifecycle.

Fields of Study & Subjects

Research Data Management Practices Scientific Computing and Data Management Data Analysis and Archiving

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
18 February 2026
Language
EN