Standards & Compliance

Aligned with scientific and data standards

MAPP is designed to help laboratories adopt rigor and transparency by aligning metadata capture and exports with widely used standards.

FAIR principles

FAIR by design: metadata modeled for findability, accessibility (with access control), interoperability (JSON‑LD contexts), and reusability (provenance and licensing).

ARRIVE 2.0

Covers essential ARRIVE items and supports capturing the contextual details needed for transparent preclinical reporting.

JSON‑LD + SHACL

Ontology‑aware metadata with JSON‑LD contexts and optional SHACL validation for schema conformance and machine readability.

SEND & RDA alignment

Data fields and mappings designed to facilitate SEND‑like exports and align with RDA and Open Science recommendations.

NWB (in progress)

Roadmap support for Neurodata Without Borders. Current exports include CSV, JSON, and JSON‑LD.

Sample metadata snippet (JSON‑LD)

{
  "@context": "https://schema.metadatapp.net/context.jsonld",
  "@type": "Study",
  "identifier": "STUDY-2025-001",
  "organism": { "@type": "Organism", "species": "Mus musculus", "strain": "C57BL/6J" },
  "procedure": [ { "@type": "OpenField", "arena": "50x50", "duration": "600 s" } ],
  "license": "CC-BY-4.0"
}

Example only; actual contexts and terms are adapted to your lab SOPs and ontologies.

Need a compliance checklist?

Request our 2‑page overview for reviewers and collaborators.

Request the PDF

Metadatapp.net