Data Management Plan Studio.
The DMP every funder now demands at proposal stage. Funder-specific scaffolds (Wellcome, NIH DMS 2023, Gates, IDRC, Horizon Europe, AAS-AESA, NSF), a live FAIR-principles scorer, a dataset register, and an AI coach tuned to each funder's red-flag list.
Templates
Per-funder structure with its red-flag list pre-loaded.Summary + sharing + repository. Add the rest as needed.
Wellcome Open Research data policy alignment. FAIR + persistent identifiers + open repository + itemised costs.
Six-element DMS plan: data type · tools · standards · preservation/access · oversight · sharing timeline.
CC BY 4.0 default · open repository · LMIC-reuse plan · FAIR.
FAIR plus CARE: collective benefit, community authority, responsibility, ethics. Built for southern-led research.
Month 6 / 18 / 36 update cycle, EOSC alignment, FAIR-by-default with justified opt-outs.
H3Africa archive for genomic data, African data-steward training, southern access control.
Tight 2-page DMP with 5 sections: types · standards · access · re-use · archiving.
Funders we know
Each funder's red-flag list is loaded into the AI coach.
Wellcome expects data and code shared as openly as possible by the time of first publication, with persistent identifiers, FAIR alignment, and an explicit statement of how participants' privacy is protected. Sharing through community-recognised repositories (EGA, ICPSR, Dryad, Zenodo) is preferred over institutional ones. Wellcome funds data-management costs as direct project costs — itemise them.
NIH's 2023 DMS policy requires sharing of all scientific data resulting from the project. The plan must cover six elements: data type, related tools/software/code, standards, preservation + access timelines, access/distribution conditions, oversight. Sharing should occur no later than time of publication or end-of-award. Costs are allowable on direct budget.
Gates Open Access policy requires immediate open access to publications and underlying data, deposited in an open repository. Data must be FAIR. The DMP must explain how data, including for non-publication-linked outputs, will be made publicly available, and how it will be reused in low-resource settings. Open licensing (CC BY 4.0 / CC0) is expected.
IDRC's Open Data Policy requires that data are made open under FAIR principles, with explicit consideration of community / local-knowledge ownership and Indigenous Data Sovereignty (CARE principles complementing FAIR). The plan must show how the global-South partners co-decide access and use, and how benefits flow back to the originating community.
Horizon Europe requires a DMP at month 6 and updated at major reporting points. Data should be 'open by default', deposited in a trusted repository, with FAIR metadata. Justified opt-outs are allowed for IP, security or personal data. Use of the European Open Science Cloud (EOSC) is encouraged.
AAS-AESA expects FAIR-aligned data sharing with an explicit Africa-centred component: pan-African discoverability (H3Africa archive where applicable), local capacity-building, and benefit-sharing with African partner institutions. For genomic data, H3Africa data archive (EGA-linked) is the default.
NSF requires a 2-page DMP at proposal stage covering: data types, standards, access + sharing policies, re-use policies, archiving. Plans are evaluated as part of the merit review. NSF supports both discipline-specific (ICPSR, NCBI) and general (Zenodo, OSF) repositories.
Apply FAIR principles end-to-end: persistent identifiers, rich metadata, open licence, standard formats, deposit in a recognised repository. Cover data lifecycle: collection → processing → preservation → sharing → reuse.
The AI drafts using only what you supply. It never invents repository names, dataset sizes, costs or partner institutions — those become [bracketed placeholders] for you to fill in.
Building the grant proposal at the same time? Try the Grant Proposal Studio — funder-specific rubrics for the full application.