SiLA 2 addresses service-oriented device and system communication, Allotrope separates a scientific data format, model, and ontology, and AnIML defines an XML-based analytical-data structure. A lab architecture can use more than one, but each boundary needs an explicit version and mapping.
21 CFR 211.160 requires written laboratory controls with scientifically sound specifications, standards, sampling plans and test procedures, including quality-control-unit review and approval. A laboratory should resolve the governing approved version before sampling or testing begins and preserve any later deviation or change separately.
For drug CGMP laboratory records within its scope, 21 CFR 211.194 connects the sample, method, raw data, calculations, result, performer, and second-person review. A final result in a LIMS is not the complete record when the source observations and review path cannot be reconstructed.
The required simplified plan asks direct questions about sharing, timing, retention, limitations, participant protections, data types, and repositories. Lab systems need to connect those approved commitments to actual data and deposits without mistaking a plan for proof of execution.
The current guidance frames confidence in production and quality-system software around intended use, risk, appropriate assurance activity, issues, and retained evidence—not documentation volume.
The guidance connects complete data to metadata, audit trails, access, processing, review, investigation, and retained records across instruments and applications.
The official annex connects risk, suppliers, validation, operation, change, security, incidents, continuity, and archiving in one computerized-system lifecycle.
The standard places software-supported records inside a wider system of impartiality, competence, resources, methods, equipment, sampling, handling, technical records, reporting, and improvement.