Data model / schema · ADF 1.5.3 RF · ASM/ADM/AFO separately versioned

Allotrope Framework

Maintained by Allotrope Foundation

What it helps you do

Allotrope supports analytical instrument data, contextual metadata, semantic models, ontologies, and long-lived data packaging.

  • Laboratory
  • Discovery
PlanAcquireHarmonizeExchangeLearn + reuse

01

Where it fits and where it does not

Use these four checks before committing implementation time.

Use it when
Vendor-neutral lab data acquisition, instrument integration, archive, and cross-technique reuse.
Limits
ADF/ADM and ASM do not share one access path; technique coverage, converter behavior, model versions, and extension governance must be pinned. AFO openness does not make the whole stack open.
Best for
Laboratory and Discovery teams working across Acquire → Harmonize → Exchange.
Maturity
ScalingUsable now, but adoption or tooling is still developing. Pilot the exact stack first.

02

See it in the workflow

This view shows the input, the change the standard introduces, and the resulting output.

  1. InputWhat starts

    Laboratory and Discovery source data, metadata, and local mappings

  2. AllotropeWhat changes

    Use Allotrope as a pinned data model / schema across Acquire → Harmonize → Exchange

  3. OutputWhat becomes possible

    A handoff the next system or team can validate against the same release

Readiness gateADF/ADM and ASM do not share one access path; technique coverage, converter behavior, model versions, and extension governance must be pinned. AFO openness does not make the whole stack open.

03

A concrete example

A chromatography pipeline converts vendor files into standardized results plus instrument, method, sample, and audit context.

Why it matters: Preserves units, method, equipment, and result semantics needed to make instrument data reproducible and featureable.

04

What it fits with

ADF stores data structured by ADM and classified with AFO; ASM offers a lighter JSON representation using AFO terms.

05

Implementation starter

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

  1. Define one handoff, its accountable owner, and the decision Allotrope must support.

  2. Pin the exact version and companion artifacts: ADF 1.5.3 RF · ASM/ADM/AFO separately versioned.

  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

Test the main limitation

Risk

ADF/ADM and ASM do not share one access path; technique coverage, converter behavior, model versions, and extension governance must be pinned. AFO openness does not make the whole stack open.

Test

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

Risk

Machine-readable output may still be unfit for analysis or ML.

Test

Test the output for missing context, provenance, terminology alignment, time leakage, and the intended downstream decision. Preserves units, method, equipment, and result semantics needed to make instrument data reproducible and featureable.

07

Official resources

Specifications, diagrams, examples, and guides from the organizations that maintain them.

  • Primary sourceADF 1.5.3 RF · ASM/ADM/AFO separately versioned

    Allotrope technical reports

    Official publisher or steward guidance for this data model / schema profile.

    Publisher
    Allotrope Foundation
    Open official 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.