In this section, information is organised based on the different roles a professional can have in research data management. You will find:
- A description of the main tasks usually handled by each role.
- A collection of research data management responsibilities for each role.
- Links to FLkit guidelines and advice on useful information for getting started with data management specific to each role.
Guidance for clinical researchers and data generators working with federated learning in healthcare settings.
Project management and coordination guidance for federated learning initiatives in healthcare.
Legal and regulatory guidance for Data Protection Officers and Legal Advisors working with federated learning in healthcare.
Data stewardship guidance for federated learning environments in healthcare settings.
Technical guidance for federated model developers and data scientists working with distributed machine learning systems.
Data management guidance for Research Software Engineers (RSEs).
Data management guidance for researchers, including how to make your data FAIR.