research-data-management

A DMP for grant proposals requires organizing data types, storage, access rules, and compliance constraints. This generates a funder-aligned DMP draft, data inventory, and risk checklist covering privacy, IP, and ethical constraints for the research project.

Research data governance compliance checks must include privacy, intellectual property, ethics, and contractual constraints. These checks produce a risk checklist and operational action items to ensure data sharing and retention policies meet institutional and funder requirements.

Yes, you can map the research data lifecycle for ongoing projects across disciplines by inputting project overviews and data types. This handles data storage, access control, retention timelines, and sharing policies to deliver a practical data inventory and governance plan.

Generate a data inventory by defining storage options, retention periods, and access rules for your research data types. This produces a structured inventory alongside your DMP draft, ensuring data sharing policies align with ethical and IP constraints.

DMP generation works for both new proposals and grant renewals. By applying project overviews and compliance constraints, it delivers operational tasks and a DMP draft suitable for ongoing projects and renewals across various research disciplines.