Re.Data has launched Data Curation Week, a dedicated campaign showcasing a series of practical resources designed to support data professionals and research support teams involved in Research Data Management (RDM).
Throughout the week, Re.Data will highlight one resource per day, providing guidance on the essential aspects of data curation and its contribution to the quality, discoverability and long-term reuse of research data. The initiative aims to strengthen the skills of data curators, data stewards, repository managers and other professionals supporting research, while promoting the adoption of FAIR data principles.
The campaign programme includes:
- Day 1 – What Does a Data Curator Do? An introduction to the core responsibilities of data curators and their role in enabling data reuse.
- Day 2 – Metadata Curation. Practical guidance on creating high-quality metadata to improve data discovery and support reuse.
- Day 3 – Curation for FAIR Data. An overview of how data curation contributes to making research data Findable, Accessible, Interoperable and Reusable (FAIR).
- Day 4 – Legal Issues and Licensing. Resources covering data sharing conditions, data protection, informed consent, access restrictions and licensing considerations.
- Day 5 – Use Cases and Practical Resources. Real-world examples, good practices and tools to help translate data curation principles into everyday research support activities.
Data curation is a fundamental component of active research data management, ensuring that datasets are properly organised, documented, described and preserved throughout their lifecycle. By supporting the implementation of FAIR principles, effective curation increases the value, visibility and reusability of research outputs, contributing to more open and reproducible science.
The full programme and all featured resources are available on the Re.Data Data Curation Week webpage.
