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