Data_Catalogue_StandardsKey Standards for Building Data Catalogue

Data_Catalogue_Standards

1. Key Standards & Frameworks for Building a Robust Data Catalogue Industry‑recognized guidance for metadata, governance, interoperability, quality, security & privacy April 2025

2. Dublin Core Metadata Standard (DCMI) 15‑element core metadata set + extended terms Lightweight, domain‑agnostic — ideal for basic resource description ISO 15836 & ANSI/NISO Z39.85; maintained by DCMI Widely adopted in libraries, repositories & knowledge portals

3. ISO/IEC 11179 – Metadata Registry Six‑part standard for registering and managing metadata Defines naming, identification, semantic & structural rules Enables cross‑system data interoperability & governance Supports lineage, stewardship & controlled vocabularies

4. W3C DCAT – Data Catalog Vocabulary RDF vocabulary to publish & interlink dataset catalogs on the Web Version 3 adds support for data services & temporal/geospatial coverage Foundation of open‑data portals (data.gov, EU Data Portal) Promotes discoverability & machine‑to‑machine exchange

5. Common Warehouse Metamodel (CWM) OMG specification for data‑warehouse & BI metadata Captures data models, ETL flows, lineage & OLAP semantics Uses XML Metadata Interchange (XMI) for sharing Helps analysts trace transformations end‑to‑end

6. ISO/IEC 38505 – Data Governance Extends ISO 38500 IT governance principles to data assets Roles, accountability & decision‑making for trustworthy data use Aligns strategy, risk, compliance & value delivery Applicable across sectors & organization sizes

7. DAMA‑DMBOK 2 Comprehensive body of knowledge for 11 data‑management domains Provides maturity model & best practices for metadata, quality, architecture Community‑driven, tool‑agnostic; aligns with ISO standards Reference for org‑wide data‑governance programs

8. ISO/IEC 25012 – Data Quality Model 15 characteristics across ‘Inherent’ & ‘System‑dependent’ dimensions Framework for defining quality requirements & metrics Supports evaluation, monitoring & continuous improvement Complements FAIR & governance policies

9. FAIR Data Principles Findable, Accessible, Interoperable, Reusable Persistent identifiers, rich metadata & open protocols Originally for research data, now mainstream in enterprise catalogs Drives AI‑ready, shareable data assets

10. OData – Open Data Protocol OASIS & ISO/IEC approved REST API standard Uniform CRUD for data entities, queryable via URI conventions Native support in Microsoft, SAP, Salesforce, Oracle Simplifies catalog integration & data‑service exposure

11. Linked Data & RDF Semantic‑web stack for publishing structured data with URIs Triple (subject‑predicate‑object) model enables knowledge graphs Supports SPARQL federated queries across catalogs Unlocks rich context & cross‑domain insights

12. ISO/IEC 19788 – Learning Resource Metadata Modular MLR standard for describing educational resources Extends DC elements with pedagogical attributes Interoperable across LMSs, MOOCs & academic repositories Facilitates discovery & reuse of learning objects

13. GDPR – EU Data Protection Regulation Legal framework for personal data processing & transfer (since 2018) Key rights: consent, access, erasure (‘right to be forgotten’), portability Mandates breach notification (<72h) & Data Protection Impact Assessments Data catalogs must classify & safeguard PII to ensure compliance

14. ISO/IEC 27001 – Information Security Management Requirements for establishing, implementing & continually improving ISMS Risk‑based controls across people, process & technology Annex A controls map to catalog functions (access, encryption, logging) Certification demonstrates robust data‑asset protection

15. NIST Privacy Framework Voluntary framework aligning privacy risk with business objectives Organized as Core (Identify, Govern, Control, Communicate, Protect) Profiles & tiers tailor implementation maturity Complements NIST Cybersecurity Framework & supports GDPR alignment

16. Next Steps to Build Your Data Catalogue Select fit‑for‑purpose metadata & governance standards from this deck Choose a catalog platform (open‑source, cloud or enterprise) Implement automated lineage capture & FAIR‑compliant search UX Embed security & privacy controls (GDPR, ISO 27001, NIST PF) Monitor data‑quality KPIs using ISO/IEC 25012 metrics