Open dataset collaboration / AGRIBALYSE

Make the dataset better.
Together.

Reproduce the import. Bring partner evidence and hackathon ideas into testable contributions. Build shared understanding, then return actionable recommendations to ADEME.

From source to shared understanding
  1. 01Canonical import
  2. 02Partner contributions
  3. 03Application & testing
  4. 04Reviewed consensus
  5. 05Recommendations to ADEME
Public collaboration · across dataset releases1 contribution record · 0 accepted0 recommendations sent · delivery requires evidence

A shared place to work

Keep the evidence connected.

A finding about the source data, an importer defect and a new scenario need different evidence. Keep the original reproducible, apply contributions in separate candidates, and make every claim reviewable.

01 / REPRODUCE

Start from a known baseline

Pin the release, source hashes, background and mappings. Understand what the import transforms before comparing results.

Import & use →
02 / INVESTIGATE

Findings with a traceable source

Connect observations to dataset identities, release files and the discussion where contributors can reproduce them.

Explore the findings →
03 / VALIDATE

Test the contribution's claim

Account for changed exchanges, check characterization, and compare equivalent scopes before seeking consensus.

Evidence & testing →

Help improve AGRIBALYSE.
Bring a reproducible observation, a model or an application test. A proposal becomes consensus only after the evidence and reviewer decisions are recorded.

Open a discussion ↗

Work in progress

Contributions under review

C001 · Review parameter scenarios and mapping contributions against the canonical AGRIBALYSE import

proposed

0 / 4 required checks recorded as passed · 0 recorded approvals

Open the contribution record ↗

Community checks use synthetic fixtures; this work does not claim a newly reproduced licensed AGRIBALYSE baseline or partner consensus.