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PSDGP

The ICCP Public Sector Data Governance Professional (PSDGP) certification equips data governance specialists with practical expertise in government frameworks, quality standards, privacy, open data, and modernization, enabling effective program implementation across federal, state, and local agencies.

90
Minutes

Who Should Take This

It is intended for mid‑career public sector data professionals who have 2–10 years of experience managing data assets in federal, state, or local agencies. These individuals seek to lead or enhance governance initiatives, align policies with regulatory requirements, and drive data‑driven decision making across government.

What's Covered

1 Domain 1: Government Data Governance Frameworks
2 Domain 2: Public Sector Data Quality and Standards
3 Domain 3: Privacy and Security Governance for Government Data
4 Domain 4: Open Data and Transparency
5 Domain 5: Government Data Modernization
6 Domain 6: Records Management and Data Lifecycle

What's Included in AccelaStudy® AI

Adaptive Knowledge Graph
Practice Questions
Lesson Modules
Console Simulator Labs
Exam Tips & Strategy
20 Activity Formats

Course Outline

53 learning goals
1 Domain 1: Government Data Governance Frameworks
3 topics

Federal data governance mandates and policies

  • Implement data governance programs aligned with the Federal Data Strategy including mission, principles, practices, and action plans for evidence-based government decision-making.
  • Apply the Foundations for Evidence-Based Policymaking Act requirements including chief data officer designation, data inventory creation, and statistical agency coordination.
  • Analyze agency data governance maturity against the Federal Data Maturity Model to identify capability gaps and develop improvement plans aligned with federal mandates.
  • Design a government data governance strategy that balances mission requirements, legislative mandates, budget constraints, and inter-agency collaboration needs.

State and local government data governance

  • Implement data governance structures for state and local agencies including data governance boards, data stewardship networks, and cross-department coordination mechanisms.
  • Apply data governance principles to address unique state and local challenges including siloed legacy systems, limited budgets, political leadership transitions, and fragmented IT governance.
  • Analyze state data governance frameworks to benchmark capabilities across jurisdictions and identify best practices transferable to the local government context.

Chief Data Officer and data leadership

  • Implement CDO office functions as mandated by the Evidence-Based Policymaking Act including data inventory management, data sharing facilitation, and strategic data planning.
  • Analyze the effectiveness of government CDO programs by evaluating organizational positioning, authority levels, resource allocation, and impact on agency data maturity.
  • Design a CDO office organizational model that balances strategic leadership with operational data management, establishing the CDO as a key advisor to agency leadership.
2 Domain 2: Public Sector Data Quality and Standards
3 topics

Government data quality management

  • Implement data quality programs for government datasets including quality dimensions, measurement methodologies, and reporting aligned with federal data quality guidelines.
  • Apply government data standards including NIST metadata standards, federal geographic data standards, and statistical data standards for consistent cross-agency data exchange.
  • Analyze data quality challenges unique to government environments including constituent data from multiple sources, historical legacy data, and data collected under varying standards across decades.
  • Design a government data quality improvement strategy that addresses systemic quality issues, standardizes collection processes, and establishes sustainable quality monitoring.

Inter-agency data sharing and interoperability

  • Implement inter-agency data sharing agreements including memoranda of understanding, data use agreements, privacy impact assessments, and technical interoperability specifications.
  • Apply government interoperability frameworks including NIEM, Common Approach to Federal Enterprise Architecture, and API standards for cross-agency data exchange.
  • Analyze inter-agency data sharing barriers including legal restrictions, semantic differences, technical incompatibilities, and organizational resistance to recommend remediation approaches.
  • Design a government data sharing strategy that maximizes inter-agency collaboration while maintaining privacy protections, security controls, and appropriate use limitations.

Government data analytics governance

  • Implement governance frameworks for government analytics including statistical rigor standards, data visualization guidelines, and evidence-based decision-making protocols.
  • Apply government performance management data governance to ensure accuracy and consistency of GPRA metrics, agency scorecards, and performance.gov reporting.
  • Analyze government analytics maturity by assessing agency capabilities in descriptive, predictive, and prescriptive analytics and identifying capacity building priorities.
3 Domain 3: Privacy and Security Governance for Government Data
3 topics

Government privacy compliance

  • Implement Privacy Act and e-Government Act compliance including System of Records Notices, Privacy Impact Assessments, and privacy program management for government agencies.
  • Apply FOIA compliance practices including records management, redaction procedures, response timelines, and proactive disclosure requirements for government data transparency.
  • Analyze privacy risks in government data processing by evaluating PII exposure, re-identification risks in anonymized datasets, and privacy compliance gaps across agency systems.
  • Design a government privacy governance program that integrates privacy-by-design, data minimization, and purpose limitation across all agency data collection and processing activities.

Government data security and classification

  • Implement FISMA compliance requirements including security categorization, risk assessment, security control selection, continuous monitoring, and authorization to operate processes.
  • Apply government data classification including Controlled Unclassified Information (CUI) marking, handling requirements, and dissemination controls per NIST SP 800-171.
  • Analyze government data security governance by evaluating NIST Cybersecurity Framework alignment, FedRAMP authorization status, and cross-agency security incident coordination.

Cybersecurity governance for government data

  • Implement zero trust data security architecture for government environments aligned with OMB Memorandum M-22-09 and NIST zero trust architecture guidelines.
  • Apply cybersecurity incident response governance for data breaches in government systems including OMB breach notification requirements and CISA coordination protocols.
  • Analyze government data security governance effectiveness by evaluating FISMA compliance scores, POA&M closure rates, and continuous monitoring coverage across agency data systems.
4 Domain 4: Open Data and Transparency
2 topics

Open data governance and management

  • Implement open data programs aligned with the OPEN Government Data Act including data inventory creation, machine-readable format requirements, and public portal management.
  • Apply open data metadata standards including DCAT, Schema.org, and Project Open Data metadata schema for discoverability and interoperability of government datasets.
  • Analyze open data program effectiveness by measuring dataset publication rates, download statistics, API usage, community engagement, and economic impact of government open data.
  • Design an open data governance strategy that balances transparency mandates with privacy protection, security restrictions, and data quality assurance for public consumption.

Data ethics in government

  • Implement ethical data use governance for government AI and analytics including algorithmic impact assessments, bias testing requirements, and public transparency obligations.
  • Analyze ethical risks in government data usage including surveillance concerns, profiling risks, equity impacts, and civil liberties implications of data-driven government services.
  • Design a government data ethics framework that establishes ethical review processes, community engagement mechanisms, and accountability structures for data-driven government programs.
5 Domain 5: Government Data Modernization
2 topics

Legacy modernization and cloud adoption

  • Implement data governance for government cloud migration including FedRAMP authorization requirements, data residency controls, and cloud security governance.
  • Apply data governance practices to legacy system modernization including data extraction strategies, data quality assessment, migration governance, and decommissioning plans.
  • Analyze government data modernization risks including vendor lock-in, data loss during migration, service continuity, and long-term total cost of ownership for modernized platforms.
  • Design a government data modernization roadmap that prioritizes high-value datasets, sequences migration phases, and ensures continuity of mission-critical data services.

Digital government services data governance

  • Implement data governance for digital government services including citizen identity management, cross-channel data consistency, and omnichannel service delivery data integration.
  • Apply API governance for government data services including API lifecycle management, developer portal management, rate limiting, and versioning for public-facing government APIs.
  • Analyze digital government service data quality by measuring citizen satisfaction, data entry error rates, cross-system reconciliation accuracy, and service delivery timeliness.
6 Domain 6: Records Management and Data Lifecycle
2 topics

Government records management governance

  • Implement federal records management requirements including NARA records schedules, electronic records management, and transition to fully electronic government recordkeeping.
  • Apply data lifecycle governance for government data including retention schedule enforcement, disposition procedures, legal hold management, and archival standards.
  • Analyze records management compliance by auditing retention schedule adherence, identifying unauthorized destruction risks, and evaluating electronic records migration completeness.
  • Design a records management modernization strategy that transitions paper-based processes to electronic records management while maintaining compliance with NARA directives.

Government data stewardship

  • Implement government data stewardship programs with agency data stewards, cross-agency stewardship councils, and stewardship accountability aligned with CDO office mandates.
  • Apply government data quality stewardship practices including data correction workflows, source system remediation coordination, and constituent data quality outreach.
  • Analyze government stewardship program effectiveness by measuring data issue resolution rates, steward engagement levels, and cross-agency collaboration outcomes.
  • Design a government stewardship sustainability model that embeds stewardship responsibilities into position descriptions, performance evaluations, and agency operational procedures.

Scope

Included Topics

  • Public sector data governance practices as tested on the ICCP Public Sector Data Governance Professional exam, covering government data management, open data initiatives, and public records requirements.
  • Federal, state, and local government data governance frameworks including FISMA, FedRAMP, the DATA Act, the OPEN Government Data Act, and Records Management Directive M-19-21.
  • Public sector data quality management including government data standards, data sharing across agencies, interoperability frameworks, and data quality assessment for public datasets.
  • Privacy and security governance for government data including PII protection, FOIA compliance, classification of government data (CUI, classified), and cross-agency data sharing agreements.
  • Open data governance including open data policies, data inventories, metadata standards, machine-readability requirements, and public data portal management.
  • Government data integration and modernization including legacy system challenges, data center consolidation, cloud adoption (FedRAMP), and enterprise data management for public agencies.

Not Covered

  • Private sector data governance practices not specific to government operations that are covered by the DGSP certification.
  • Advanced data science and analytics techniques beyond what public sector data governance professionals need to understand.
  • Military and intelligence community classified data management at TS/SCI levels beyond general government classification awareness.
  • Vendor-specific government cloud platform administration beyond governance and compliance requirements.

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