Provides advice and support on research data management and sharing, promoting best practices in data curation.
Key Training Programs and Resources Provided by the DCC:
- Research Data Management (RDM) Training: Offers foundational and advanced training on best practices for managing research data throughout its lifecycle. Covers topics such as Data Management Plans (DMPs), metadata creation, and FAIR principles (Findable, Accessible, Interoperable, and Reusable).
- Online Training Modules: Includes self-paced online resources such as guides, tools, and webinars to help researchers and data managers improve their data curation skills.
- DMPonline Tool Training: Provides specific training on the use of DMPonline, a tool designed to help researchers create and manage Data Management Plans that comply with funder requirements.
- Workshops and Seminars: Regularly organizes face-to-face and virtual workshops tailored to specific audiences, including researchers, librarians, and institutional administrators. These sessions focus on practical aspects of data curation, from data organization and storage to ethical sharing and reuse.
- The FAIR Assessment and Maturity Models: Teaches how to assess data compliance with the FAIR principles, enabling stakeholders to improve their data practices for greater interoperability and reuse.
- Community Building: The DCC fosters a network of professionals engaged in data curation, offering collaborative training environments where participants can learn from case studies and shared experiences.
- Policy and Strategy Development Support: Trains institutional leaders and policymakers on creating robust data management policies that align with national and international frameworks.