Question 1

What is a Grant Space?

Accepted Answer

A Grant Space is one living page for everything a grant produces. Upload your datasets, code, figures, and documents; we organise and describe them, analyse and visualise them in your browser, and publish a citable, FAIR, compliance-tracked record with a persistent identifier — that people and AI agents can both use.

Question 2

Do I need a grant number to start?

Accepted Answer

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).

Question 3

What can I do with my files once they're in?

Accepted Answer

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.

Question 4

Is the data open and machine-readable?

Accepted Answer

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.

Question 5

How is funder compliance determined?

Accepted Answer

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.