Data model / schema · 6.0.0 schema · delivered project

Pistoia Alliance Unified Data Model

Maintained by Pistoia Alliance · subsequent community maintenance unverified

What it helps you do

UDM supports xML exchange of experimental information about compound synthesis, reactions, products, procedures, measurements, and compound testing.

  • Discovery
  • Laboratory
PlanAcquireHarmonizeExchangeLearn + reuse

01

Where it fits and where it does not

Use these four checks before committing implementation time.

Use it when
Cross-system exchange of medicinal-chemistry synthesis and testing records that are not covered by instrument-only or generic study metadata.
Limits
The public repository has no packaged releases and showed no verified maintenance after 2021. Current adoption, extension governance, validator support, and successor plans are unverified.
Best for
Discovery and Laboratory teams working across Acquire → Harmonize → Exchange.
Maturity
EmergingUse only in a bounded pilot and expect the specification or tooling to change.

02

See it in the workflow

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

  1. InputWhat starts

    Discovery and Laboratory source data, metadata, and local mappings

  2. UDMWhat changes

    Use UDM 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 gateThe public repository has no packaged releases and showed no verified maintenance after 2021. Current adoption, extension governance, validator support, and successor plans are unverified.

03

A concrete example

A chemistry platform exports a UDM 6.0.0 reaction record with structures, participants, procedure, conditions, products, yields, analytical results, identifiers, and source-system provenance.

Why it matters: Structured synthesis and testing records can support reaction and property models, but normalization, failed experiments, analytical evidence, and selection-bias controls remain separate.

04

What it fits with

Complements Allotrope or AnIML instrument results and ISA study context; chemistry identifiers, units, vocabularies, and organization-specific extensions still need governance.

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 UDM must support.

  2. Pin the exact version and companion artifacts: 6.0.0 schema · delivered project.

  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

The public repository has no packaged releases and showed no verified maintenance after 2021. Current adoption, extension governance, validator support, and successor plans are unverified.

Test

Run one representative end-to-end pilot and record exactly where UDM 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. Structured synthesis and testing records can support reaction and property models, but normalization, failed experiments, analytical evidence, and selection-bias controls remain separate.

07

Official resources

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

  • Primary source6.0.0 schema · delivered project

    Pistoia Alliance UDM repository

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

    Publisher
    Pistoia Alliance · subsequent community maintenance unverified
    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.