Data model / schema · ISA Model · ISA-Tab · ISA-JSON 1.0

ISA Model & Tools

Maintained by ISA Commons

What it helps you do

Use ISA when you need experimental design, sample characteristics, protocols, assay technologies, and sample-to-data relationships.

  • Discovery
  • Laboratory
  • Omics
PlanAcquireHarmonizeExchangeLearn + reuse

01

Where it fits—and where it doesn’t

Use these four checks before committing implementation time.

Use it when
Multi-omics and multi-assay study metadata at the boundary between experiment design and repository submission.
Do not use it as
Do not treat ISA as a complete solution on its own. Rich metadata entry is labor-intensive and local templates can drift without governance and validation.
Best for
Teams working with Discovery and Laboratory and Omics data across Plan → Acquire → Harmonize.
Maturity
EstablishedEstablished enough for serious use; still pin the exact release and any implementation profile.

02

See it in the workflow

A standard creates value by changing a handoff, not by existing in a catalog.

  1. InputWhat starts

    Discovery and Laboratory and Omics data, metadata, and the local decisions around them

  2. ISAWhat changes

    ISA applies a shared data model / schema across Plan → Acquire → Harmonize

  3. OutputWhat becomes possible

    A more consistent, reviewable handoff for the next system or team

Readiness gateBefore scaling: Rich metadata entry is labor-intensive and local templates can drift without governance and validation.

03

A concrete example

A multi-omics study records subjects, specimens, extraction protocols, LC-MS and sequencing assays, and derived files in one investigation.

Why it matters: Captures experiment and sample lineage that models need for stratification, provenance, and reproducible train/test construction.

04

What it fits with

Normatively serializes as ISA-Tab and ISA-JSON, uses ontology annotations, and complements RO-Crate packaging; RDF representations are community/tooling layers.

05

Implementation starter

Start with one bounded handoff. Pin, test, and review it before scaling.

  1. Name an accountable owner and the decision ISA must support.

  2. Pin the exact version and companion artifacts: ISA Model · ISA-Tab · ISA-JSON 1.0.

  3. Map one representative input to the required data model / schema artifacts.

  4. Test the result against the canonical source and record every exception.

  5. Preserve the source data, mappings, and review evidence before scaling.

06

Limitation to test first—and the tests that catch it

Risk

Rich metadata entry is labor-intensive and local templates can drift without governance and validation.

Test

Run one representative end-to-end pilot and record exactly where ISA loses context, needs an extension, or depends on another standard.

Risk

A structured or machine-readable result can still be unfit for analysis or AI.

Test

Test the output for missing context, provenance, terminology alignment, time leakage, and the intended downstream decision. Captures experiment and sample lineage that models need for stratification, provenance, and reproducible train/test construction.

07

Why we believe this

Checked against the canonical source plus independent operational evidence from an adopter, regulator, or implementation report.

Evidence notation: E1 + E2. The code is shorthand; the plain-language statement above is the claim.

Formal status
ISA Model and serializations 1.0
Confidence
High
Review state
Source-checked
Reviewed by
Multi-omics metadata reviewer
Last verified
13 July 2026
Review again when
Specification, schema, validator, or repository-profile release
How the evidence method works

08

Source shelf

Official diagrams, examples, specifications, and explainers. Nothing external loads until you choose to open it.

  • Primary sourceISA Model · ISA-Tab · ISA-JSON 1.0

    ISA tools and model

    The canonical publisher or steward source used to verify this data model / schema profile.

    Publisher
    ISA Commons
    Rights
    Rights remain with the publisher; this knowledge base links to the source rather than copying it.
    Access
    Opens the publisher's source in a new tab; no external media loads on this page.
    Verified
    2026-07-13
    Open at source

Next action

Put this profile in context

Compare its role with adjacent standards or place it inside an end-to-end data pathway before choosing an implementation.