LAB SYSTEMSINDEX

Map the system. Preserve the evidence. Test the handoff.

Operating domain

Operating domain: Scientific knowledge, collaboration, and reuse

The research operating layer that relates hypotheses, entities, materials, experiments, protocols, observations, files, analysis, decisions, authorship, permissions, and reusable knowledge.

What this domain asks

The research operating layer that relates hypotheses, entities, materials, experiments, protocols, observations, files, analysis, decisions, authorship, permissions, and reusable knowledge.

The domain should retain its own evidence, decision owner, materiality criteria, exception path, and consequence even when it shares organization identity, workflow, or technology with adjacent domains. Aggregation can support oversight; it should not erase the evidence behind different risks or operating outcomes.

Buyer questions

  • Which objects and relationships structure the science?
  • How are protocol and experiment versions retained?
  • Can a decision be traced to materials observations data and analysis?
  • How are collaboration review and authorship represented?
  • Can the knowledge be exported interpreted and reused outside the application?

Mapped workflows

ELN Experiment Authoring And Collaboration

A demonstration should show the trigger, source, accountable role, decision, exception, evidence, and downstream handoff for ELN experiment authoring and collaboration within this domain.

Chemical Biological And Material Entity Registration

A demonstration should show the trigger, source, accountable role, decision, exception, evidence, and downstream handoff for chemical biological and material entity registration within this domain.

Protocol Method Template And Version Management

A demonstration should show the trigger, source, accountable role, decision, exception, evidence, and downstream handoff for protocol method template and version management within this domain.

Scientific Data Models Ontology And Semantic Context

A demonstration should show the trigger, source, accountable role, decision, exception, evidence, and downstream handoff for scientific data models ontology and semantic context within this domain.

Scientific Search Analytics And Data Reuse

A demonstration should show the trigger, source, accountable role, decision, exception, evidence, and downstream handoff for scientific search analytics and data reuse within this domain.

Electronic Signatures Audit Trails And Record History

A demonstration should show the trigger, source, accountable role, decision, exception, evidence, and downstream handoff for electronic signatures audit trails and record history within this domain.

Role Identity Access And Segregation-Of-Duties Controls

A demonstration should show the trigger, source, accountable role, decision, exception, evidence, and downstream handoff for role identity access and segregation-of-duties controls within this domain.

API Integration And Enterprise Interoperability

A demonstration should show the trigger, source, accountable role, decision, exception, evidence, and downstream handoff for API integration and enterprise interoperability within this domain.

Authority context

NIST RDaF 2.0

RDaF organizes research-data concerns across planning, lifecycle, infrastructure, standards, governance, workforce, and community perspectives.

Allotrope Framework

The Allotrope Framework combines a data format, data models, and taxonomies or ontologies intended to improve laboratory-data standardization and interoperability.

NIH DMS Policy

The policy requires applicable researchers to plan for management and sharing of scientific data and to comply with approved plans, subject to limitations and protections.

Relevant operating models

Evidence boundary

Lab Systems Index provides market, standards, regulatory, product, and operating research. It does not validate a computerized system, certify Part 11 or GxP compliance, accredit a laboratory, approve a method, determine scientific validity, interpret patient results, or replace laboratory, quality, validation, regulatory, security, legal, data-integrity, or scientific review. A provider's documented capability can identify a research candidate but cannot establish buyer-specific adequacy for this domain.