researchoutputs.ai

The Grant Space Workbench

Turn grant research into your next paper.

One shared lab notebook for your grant. Bring your data, code and ideas together, work through analyses with AI, and build paper drafts from the methods and findings your team records along the way.

Start a Grant Space Try an example workspace

No grant number needed. Start from files or an award; nothing goes public without your approval.

From question to paper · example workflowExplore the example
QUESTIONdraft

What explains the change in coastal salinity?

Illustrative notebook entry · team question
ANALYSISdraft

Compare monitoring sites and seasonal variation

Illustrative workflow · methods and results
PAPERdraft

From field observations to a working manuscript

Illustrative paper draft · evidence linked

A workspace for the research itself

Bring it together. Investigate. Write.

  1. 01
    Bring the work together

    Enter a grant code and add your working files. Keep datasets, protocols, code and notes in a shared workspace for the team.

  2. 02
    Investigate and record

    Record questions and methods, run dataset analyses, and save results to the notebook. Use hosted AI or a local model to plan and draft from selected evidence.

  3. 03
    Write and share

    Select your methods and findings to build a paper draft. Review it with coauthors, export it, and prepare supporting outputs for publication.

One file is enough to begin. Open a Workbench

Your shared research notebook

Keep the thread of your research.

Move from the question to its files, methods, findings and paper draft. Your shared notebook preserves the context between each step.

  1. 01
    Notebook

    Questions, protocols, findings and decisions.

  2. 02
    Research files

    The datasets, code and figures behind the work.

  3. 03
    Analyses

    Methods and saved results, linked to inputs.

  4. 04
    Papers

    Working drafts built from selected evidence.

  5. 05
    Team

    Collaborators contributing to one research record.

The materials behind a discovery

Bring the whole project.

Datasets

Tabular, imaging, sensor. Checksums and schema captured on deposit.

Code

Scripts and notebooks alongside the data and methods they use.

Models

Model files, documentation and evaluation notes in the shared workspace.

Protocols

Methods and observations linked to findings and paper drafts.

Why now

Research moves between lab drives, spreadsheets, analysis tools and manuscript drafts. The reasoning gets lost between them. A shared notebook keeps the question, method, result and decision connected, so the next analysis or paper starts with evidence your team already has.

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.

Explore grant spaces

Frequently asked questions

What is a Grant Space?
A Grant Space is a shared research notebook for a funded project. Your team adds files, records methods and findings, saves analyses, and develops paper drafts with AI assistance. Working notes stay private to grant members.
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?
Preview and profile supported files, build charts, run SQL and save AI-guided analyses to the notebook. Uploaded files live in your shared cloud workspace. Hosted analysis sends example values and query results to the AI provider. The notebook assistant also supports a locally installed Ollama model with explicit source selection.
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.

Start a Grant Space