FAIR Data Management

Data assets that are interpretable and interoperable for humans and machines are critical to enhance the impact of research in the agricultural domain and to catalyze innovation and transform agricultural reserch for development. This course has been developed to strengthen capacity in the CGIAR System and beyond to create, manage and share research and development data assets that are not only open (i.e., discoverable and downloadable), but also easily interpretable, interoperable, and reusable. The FAIR Principles embody the guidelines to make resources Findable, Accessible, Interoperable, and Reusable (FAIR); this course is intended to provide more concrete "how to" help in operationalizing these, and ensuring that assets are responsibly managed.