Data Management Planning in a Cross-Disciplinary Research Environment: More Than a Tick Box Exercise?
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.
Authors
- Matthew A. Nichols (ORCID: https://orcid.org/0000-0002-6686-0252)
- David Leaver
- Deena Catherine Mobbs
- Hannah Dean (ORCID: https://orcid.org/0000-0002-9602-7202)
- Rick Stuart
- Shona Ferguson
Institutions
- UK Centre for Ecology & Hydrology (GB)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-02-18
- DOI
- https://doi.org/10.5281/zenodo.18983709
- Primary Topic
- Research Data Management Practices
- Type
- article
- Field-Weighted Citation Impact
- 0.00