DATASETFAIR
The Grant Space Workbench
The workbench for everything a grant produces.
Work privately across outputs, evidence, lineage, compliance, and team decisions. When the record is ready, publish each approved output with provenance, a persistent identifier, and a version the public can trust.
No grant number needed. Start from files or an award; nothing goes public without your approval.
On the recordOpen the registry
MODELFAIR
Tidal-mixing emulator weights
CODEdraft
salinity-pipeline (reproducible)
From active project to trusted record
One place to assemble, verify, and release.
- 01Assemble
Start from an award or your own files. The Workbench brings publications, data, software, people, and grant context into one project record.
- 02Work and verify
Search the whole grant, ask cited questions, follow lineage, record decisions, and clear a funder-aware FAIR and compliance punch list.
- 03Release
Approve what goes public. Each release is versioned, citable, machine-readable, and linked back to the award and the evidence behind it.
One file is enough to begin. Open a Workbench
Seven views, one grant record
The team and the public use the same evidence.
Switch between a clear visual workspace and canonical source metadata at any time. Project-wide Copilot answers from the Grant Space and cites the records it used.
- 01Outputs
Working files and public records.
- 02Copilot
Project-wide answers with citations.
- 03Search
Find evidence across the whole grant.
- 04Lineage
See inputs, reuse, and relationships.
- 05Compliance
Turn mandates into a release gate.
- 06Collaborate
Keep people, decisions, and follow-ups together.
- 07History
Release, cite, export, and inspect versions.
One record model, every artifact
Deposit any output.
Datasets
Tabular, imaging, sensor. Checksums and schema captured on deposit.
Code
Snapshotted repositories with an environment lock for re-execution.
Models
Weights, cards and eval traces, versioned alongside their training data.
Protocols
Step-by-step methods, forkable and citable in their own right.
Why now
Every major funder now mandates open data and code, but the work still happens across lab drives, repositories, spreadsheets, and reporting portals. A registry only sees the end. The scarce thing is a workbench that helps the team reach a trustworthy record: versioned, licensed, evidenced, and linked to the work it enabled.
For funders & institutions
See every output an award produced.
Grant spaces roll all outputs up to the award that funded them, with FAIR compliance visible at a glance.
Frequently asked questions
- What is a Grant Space?
- A Grant Space is a project workbench for everything a grant produces. The team works privately across outputs, evidence, lineage, compliance, and decisions, then publishes each approved output into one citable, FAIR, machine-readable record.
- Do I need a grant number to start?
- No. You can start uploading your working files straight away. If you do have a grant number, we also assemble what's already published under it — publications, datasets, and software from OpenAlex, DataCite, and Crossref (plus the full NIH RePORTER record for NIH awards).
- What can I do with my files once they're in?
- Every file is previewed and profiled in your browser. AI drafts a title, description, keywords, and a licence for you to approve; you can build charts in the Chart Studio, run SQL and AI-guided analysis, export metadata in every standard schema, and draft your data-availability and methods statements. Your raw data never leaves your machine.
- Is the data open and machine-readable?
- Yes. Published Grant Spaces are public, carry schema.org JSON-LD and a citation in plain text and BibTeX, expose each output's metadata in DataCite, Dublin Core, CodeMeta, and Croissant, and are queryable by agents via a Model Context Protocol (MCP) endpoint.
- How is funder compliance determined?
- A funder-aware engine checks open access (and PubMed Central for NIH) and data sharing against the award's mandate, producing a score and a punch list — computed by the platform, not self-reported.
Get started
Open a workbench for your next grant.
Start from the award or whatever is already on the lab drive. Organise the work in private, then approve exactly what becomes part of the public record.