FAIRRR 5/5 — The 30‑Day Playbook to Adopt FAIRRR with MAPP

This article is part of the FAIRRR series: 1 · 2 · 3 · 4 · 5

This is Post 5 of 5 in the FAIRRR series. Previous: Case Study—HCM with MAPP + Ontology Mapping

Week 1 — Scope and minimal descriptors

• Pick one ongoing study; list 10–15 ARRIVE‑aligned descriptors.
• Assign persistent IDs (animals, devices, protocols, reagents).
• Define roles and review cadence.

Week 2 — Templates and capture in‑flow

• Configure MAPP templates for your study.
• Map 10 core ontology terms for behaviors/conditions.
• Start capturing provenance and deviations as you go.

Week 3 — Link a pipeline and export

• Connect one analysis pipeline; record versions and parameters.
• Export a reusable package (metadata + license) for internal review.
• Dry‑run repository submission if relevant.

Week 4 — Review, publish, and institutionalize

• FAIRRR scorecard review; close gaps.
• Write an SOP addendum for metadata and provenance.
• Present quick wins to leadership (time saved, joins enabled, duplication avoided).

Sustaining practices

• Quarterly FAIRRR metrics; template updates.
• Rotating metadata champions; refresher training.
• Incremental integrations (LIMS/ELN, more pipelines, repositories).

What success looks like in 30 days

• One study with end‑to‑end FAIRRR metadata in MAPP.
• A working integration with at least one analysis.
• An SOP addendum and a simple FAIRRR dashboard.

Series navigation: Previous ← Case Study—HCM with MAPP + Ontology Mapping • Start → The Metadata Gap Is an Ethics Gap