Better research needs transparent, reproducible workflows.
Educational support around data-management planning, documentation, FAIR principles, reproducibility, preregistration and repository readiness.
Data-management plans
Clarify collection, storage, access, retention and sharing decisions.
Reproducibility
Document methods, code, variables and analysis choices clearly.
FAIR principles
Understand findability, accessibility, interoperability and reusability where appropriate.
Preregistration
Prepare research plans and distinguish confirmatory from exploratory decisions.
Repositories
Plan what can be deposited and what must remain restricted.
Responsible sharing
Balance openness with consent, confidentiality, contractual and ethical constraints.