FAIRifying data & code in the environmental sciences - Practical guide and Q&A
Abstract
Presented online on February 13 2026, this practical mini workshop by experts from ZALF and FAIRagro outlines a comprehensive strategy for "FAIRifying" research data and code. The session transitions from an introduction on the reproducibility benefits of code sharing to technical deep-dives into publishing data in specialized repositories like BonaRes. It further details a "Roadmap for FAIR Code," covering essential versioning, metadata standards and the critical legal distinctions between Creative Commons and Open Source Software licenses.
Fields of Study & Subjects
Research Data Management Practices
Scientific Computing and Data Management
Academic Publishing and Open Access
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 13 February 2026
- Language
- ENC