Regulation and standards record
Each record preserves the issuing authority, jurisdiction, instrument or authority type, legal or operating status, version and application dates, affected audience, workflow mapping, source link, and interpretation boundary.
21 CFR Part 11
Part 11 sets criteria under which FDA considers electronic records and signatures trustworthy, reliable, and generally equivalent to paper records and handwritten signatures.
21 CFR 211.194
The section specifies content for laboratory records, including samples, methods, test data, calculations, results, initials, dates, second-person review, and investigation references.
21 CFR Part 58
Part 58 establishes organizational, personnel, facility, equipment, protocol, operating-procedure, record, reporting, and archive requirements for specified nonclinical studies.
FDA Part 11 Scope Guidance
The guidance explains FDA's narrow interpretation of Part 11 scope and enforcement discretion for certain provisions while retaining applicable predicate-rule requirements.
FDA Data Integrity Guidance
The guidance addresses complete, consistent, accurate data; metadata; audit trails; access; review; blank forms; testing into compliance; and investigation of data-integrity problems.
FDA Computer Software Assurance Guidance
The guidance describes a risk-based approach to establishing confidence in automation used for production or quality systems, including intended use, risk analysis, assurance activities, records, and appropriate testing.
EU GMP Annex 11
Annex 11 addresses risk management, personnel, suppliers, validation, data, accuracy checks, storage, printouts, audit trails, change, security, incident management, signatures, business continuity, and archiving.
EU GMP Chapter 4
Chapter 4 places specifications, instructions, procedures, records, reports, controls, approval, availability, legibility, traceability, correction, retention, and hybrid-system relationships within the pharmaceutical quality system.
MHRA Data Integrity Guidance
The MHRA record addresses data governance, lifecycle, criticality, metadata, audit trails, access, review, retention, hybrid systems, and organizational culture.
PIC/S PI 041-1
PI 041-1 describes data governance, risk, lifecycle, organizational controls, computerized and paper systems, audit trails, review, outsourcing, and remediation considerations.
OECD GLP Principles
OECD GLP principles organize test-facility management, quality assurance, facilities, apparatus, test systems, materials, procedures, study performance, reporting, and archives.
OECD GLP Advisory Document No. 22
The advisory document addresses data governance, lifecycle, criticality, metadata, computerized systems, dynamic data, cloud and service arrangements, review, archive, and reconstruction in GLP settings.
ISO/IEC 17025:2017
ISO/IEC 17025 specifies requirements for laboratory competence, impartiality, and consistent operation across resources, processes, and management systems.
ISO 15189:2022
ISO 15189 specifies quality and competence requirements for medical laboratories, including governance, resources, pre-examination, examination, post-examination, information, risk, and improvement.
ISO 9001:2015
ISO 9001 specifies requirements for a quality management system covering context, leadership, planning, support, operation, performance evaluation, and improvement.
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.
SiLA 2
SiLA 2 defines service-oriented communication concepts for integrating laboratory devices and software, including feature definitions and a communication protocol.
AnIML
AnIML defines an XML-based approach for representing analytical measurement data, metadata, techniques, and experiment context.
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.
How to read the library
Binding requirements, official guidance, technical standards, implementation guides, program rules, and authority data are not interchangeable. Each page names the source class and states what it can and cannot establish about an organization or product.