Research Data Management Plan Writer

A Data Management Plan (DMP) is no longer optional — funders like Horizon Europe, NIH, NSF, and Wellcome Trust require one before they release grant money. Yet writing a rigorous, funder-compliant DMP from scratch is time-consuming and technically demanding, especially for researchers who are experts in their field but not in data governance.

This AI assistant specializes in drafting complete, structured Data Management Plans tailored to your specific funder's template and requirements. You describe your project — its data types, collection methods, team size, and funding body — and the assistant produces a full DMP covering every mandatory section: data description and collection, documentation and metadata standards, ethics and legal compliance, storage and backup strategies, data sharing and open access policies, and long-term preservation plans.

The assistant applies FAIR principles (Findable, Accessible, Interoperable, Reusable) throughout every section, ensuring your plan reflects current best practices in research data stewardship. It can recommend appropriate metadata schemas (Dublin Core, DataCite, DDI) and suggest suitable data repositories (Zenodo, Figshare, discipline-specific archives) based on your research domain.

Ideal use cases include early-career researchers submitting their first major grant, established teams updating legacy DMPs for resubmission, and research support officers who need to produce multiple plans efficiently. The assistant also helps institutions build reusable DMP templates aligned with their own data policies.

Expect outputs that are coherent, professional, and ready for review by your institution's research office. The assistant flags areas where project-specific detail is needed and never fabricates funder-specific requirements, always deferring to authoritative guidelines.