Data Governance Gap Analyzer
Select the data governance capabilities your organization currently has in place. The radar chart and gap analysis update in real time.
Maturity: 0 = None · 1 = Ad Hoc · 2 = Defined · 3 = Operational · 4 = OptimizedPriority: ○ Standard · ● Regulated (2× compliance weight) · ▲ Critical (3× — GxP / regulatory)
Policies & Standards
0%- ○Data classification policy defined and communicated
- ●Data retention and archival policy documented
- ○Naming and coding conventions established
- ○Data ownership model with assigned owners per domain
Data Stewardship
0%- ○Data stewards assigned for each key data domain
- ○Governance council or committee meets regularly
- ○Escalation path for data conflicts clearly defined
Data Quality
0%- ○Data quality rules documented per key dataset
- ●Automated quality checks implemented
- ○Quality metrics tracked and reviewed on a cadence
- ●Data lineage documented end-to-end
Systems & Tooling
0%- ●Scientific data management system (LIMS/ELN) in use
- ○Data catalog or metadata repository maintained
- ●Integration monitoring and alerting configured
- ○Master data management process defined
Access & Security
0%- ●Role-based access control implemented across systems
- ●Formal data access request and approval process defined
- ●Periodic access reviews and recertification conducted
Compliance & Audit
0%- ▲Data integrity controls aligned to GxP requirements
- ▲Electronic records compliant (21 CFR Part 11 or equivalent)
- ▲Audit trails enabled and regularly reviewed
- ●Change control process for validated systems documented
Metadata Governance
0%- ○Metadata standards defined and enforced across datasets
- ○Controlled vocabularies or ontologies in use for key fields
- ●Schema governance process established for dataset changes
- ○Cross-study metadata harmonization standards defined
AI & Analytics Governance
0%- ●Approved analytical datasets managed and versioned
- ●AI/ML model governance process defined
- ○Reproducibility standards established for analyses
- ○Feature lineage and model provenance tracked
Overall Maturity
0%
Compliance Readiness
0%
Policies0%
Stewardship0%
Quality0%
Systems0%
Access0%
Compliance0%
Metadata0%
Analytics0%
Gap Analysis
Policies & Standards
- NoneData retention and archival policy documented
- NoneData classification policy defined and communicated
- NoneNaming and coding conventions established
- NoneData ownership model with assigned owners per domain
Data Stewardship
- NoneData stewards assigned for each key data domain
- NoneGovernance council or committee meets regularly
- NoneEscalation path for data conflicts clearly defined
Data Quality
- NoneAutomated quality checks implemented
- NoneData lineage documented end-to-end
- NoneData quality rules documented per key dataset
- NoneQuality metrics tracked and reviewed on a cadence
Systems & Tooling
- NoneScientific data management system (LIMS/ELN) in use
- NoneIntegration monitoring and alerting configured
- NoneData catalog or metadata repository maintained
- NoneMaster data management process defined
Access & Security
- NoneRole-based access control implemented across systems
- NoneFormal data access request and approval process defined
- NonePeriodic access reviews and recertification conducted
Compliance & Audit
- NoneData integrity controls aligned to GxP requirements
- NoneElectronic records compliant (21 CFR Part 11 or equivalent)
- NoneAudit trails enabled and regularly reviewed
- NoneChange control process for validated systems documented
Metadata Governance
- NoneSchema governance process established for dataset changes
- NoneMetadata standards defined and enforced across datasets
- NoneControlled vocabularies or ontologies in use for key fields
- NoneCross-study metadata harmonization standards defined
AI & Analytics Governance
- NoneApproved analytical datasets managed and versioned
- NoneAI/ML model governance process defined
- NoneReproducibility standards established for analyses
- NoneFeature lineage and model provenance tracked