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DCH-33.2: Data Quality Management

DCH 5 — Medium Identify

Mechanisms exist to manage the quality, utility, objectivity, integrity and impact determination and de-identification of sensitive and/or regulated data across the information lifecycle.

Renumbered: Formerly PRI-10 in SCF 2025.4.

Control Question: Does the organization manage the quality, utility, objectivity, integrity and impact determination and de-identification of sensitive and/or regulated data across the information lifecycle?

General (13)
Framework Mapping Values
AICPA TSC 2017:2022 (used for SOC 2) (source) P7.0 P7.1 P7.1-POF1 P7.1-POF2
NIST 800-53 R5.2 PM-22 PM-23 PM-24
NIST 800-53B R5 (privacy) (source) PM-22 PM-24
NIST 800-82 R3 PM-22 PM-23 PM-24
NIST 800-82 R3 LOW OT Overlay PM-22 PM-23 PM-24
NIST 800-82 R3 MODERATE OT Overlay PM-22 PM-23 PM-24
NIST 800-82 R3 HIGH OT Overlay PM-22 PM-23 PM-24
NIST 800-161 R1 PM-22 PM-23
NIST 800-161 R1 Level 1 PM-22 PM-23
NIST 800-161 R1 Level 2 PM-22
NIST Privacy Framework 1.0 CT.PO-P4
OECD Privacy Principles 2
SCF DPMP 2026 5.11
US (4)
Framework Mapping Values
USA Federal HIPAA Administrative Simplification 2013 § 164.512(i)(1)(i)(B) § 164.512(i)(1)(i)(B)(1) § 164.512(i)(1)(i)(B)(2) § 164.512(i)(1)(i)(B)(3)
USA Federal FIPPS 1973 5.0
USA California CCPA 2025 7023(c)
USA Texas DIR SCSC 2.2 2025 PM-22
EMEA (1)
Framework Mapping Values
EMEA Greece PIRPPD 1997 B.4.1.c

Capability Maturity Model

Level 0 — Not Performed

Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.

Level 1 — Performed Informally

SCR-CMM Level 1 criteria definitions are not available for this control: ▪ A reasonable person would conclude this control requires a structured process. ▪ At this level of maturity, the "ad hoc" nature of performing a capability informally would indicate the intent of the control is not met due to a lack of consistency and formality.

Level 2 — Planned & Tracked

SCR-CMM Level 2 criteria definitions are not available for this control: ▪ A reasonable person would conclude a well-defined and standardized process is required. ▪ At this level of maturity, the “requirements-driven” nature of performing the control is focused on a localized and/or regionalized implementation, not uniform and consistent across the organization. ▪ Requirements are narrowly scoped for applicability and are primarily derived from compliance obligations (e.g., laws, regulations and contracts).

Level 3 — Well Defined

Data Classification & Handling (DCH) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with DCH domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function. ▪ Standardized Operating Procedures (SOP) associated with DCH domain capabilities are well-documented and kept current by process owners. ▪ A Governance, Risk & Compliance (GRC) team, or similar function, is appropriately staffed and supported to implement and maintain DCH domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of data classification and handling operations (e.g., GRC platform). ▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with DCH domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls). ▪ An implemented and operational capability exists to manage the quality, utility, objectivity, integrity and impact determination and de-identification of sensitive/regulated data across the information lifecycle.

Level 4 — Quantitatively Controlled

Utilize SCR-CMM Level 3 criteria definitions: ▪ There are no defined Level 4 criteria, since it is reasonable to assume a quantitatively-controlled process is not necessary to operationalize this control. ▪ While it may be possible to develop “metrics-driven” capabilities for this control, the criteria would be organization-specific to define.

Level 5 — Continuously Improving

Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions: ▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control. ▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies. ▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.

Assessment Objectives

  1. DCH-33.2_A01 the responsibilities of the organization's data governance body are defined.
  2. DCH-33.2_A02 a data governance body is established.
  3. DCH-33.2_A03 the organization's data governance body consisting of roles with responsibilities is established.
  4. DCH-33.2_A04 the data integrity board/function reviews proposals to conduct or participate in a matching program.
  5. DCH-33.2_A05 the data integrity board/function conducts an annual review of all matching programs in which the agency has participated.
  6. DCH-33.2_A06 organization-wide policies for Personal Data (PD) quality management are developed and documented.
  7. DCH-33.2_A07 organization-wide procedures for Personal Data (PD) quality management are developed and documented.
  8. DCH-33.2_A08 the policies address reviewing the accuracy of Personal Data (PD) across the information life cycle.
  9. DCH-33.2_A09 the policies address reviewing the relevance of Personal Data (PD) across the information life cycle.
  10. DCH-33.2_A10 the policies address reviewing the timeliness of Personal Data (PD) across the information life cycle.
  11. DCH-33.2_A11 the policies address reviewing the completeness of Personal Data (PD) across the information life cycle.
  12. DCH-33.2_A12 the procedures address reviewing the accuracy of Personal Data (PD) across the information life cycle.
  13. DCH-33.2_A13 the procedures address reviewing the relevance of Personal Data (PD) across the information life cycle.
  14. DCH-33.2_A14 the procedures address reviewing the timeliness of Personal Data (PD) across the information life cycle.
  15. DCH-33.2_A15 the procedures address reviewing the completeness of Personal Data (PD) across the information life cycle.
  16. DCH-33.2_A16 the policies address correcting or deleting inaccurate or outdated Personal Data (PD).
  17. DCH-33.2_A17 the procedures address correcting or deleting inaccurate or outdated Personal Data (PD).
  18. DCH-33.2_A18 the policies address disseminating notice of corrected or deleted Personal Data (PD) to individuals or other appropriate entities.
  19. DCH-33.2_A19 the procedures address disseminating notice of corrected or deleted Personal Data (PD) to individuals or other appropriate entities.
  20. DCH-33.2_A20 the policies address appeals of adverse decisions on correction or deletion requests.
  21. DCH-33.2_A21 the procedures address appeals of adverse decisions on correction or deletion requests.
  22. DCH-33.2_A22 the roles of the organization's data governance body are defined.

Evidence Requirements

E-DCH-17 Data Catalog & Data Quality Records

Documented evidence of a data catalog and data quality management activities for sensitive / regulated data.

Data Protection

Technology Recommendations

Micro/Small

  • Data classification program
  • Data privacy program
  • Data Protection Impact Assessment (DPIA)
  • Product / project management

Small

  • Data classification program
  • Data privacy program
  • Data Protection Impact Assessment (DPIA)
  • Product / project management

Medium

  • Data classification program
  • Data privacy program
  • Data Protection Impact Assessment (DPIA)
  • Product / project management

Large

  • Data classification program
  • Data privacy program
  • Data Protection Impact Assessment (DPIA)
  • Product / project management

Enterprise

  • Data classification program
  • Data privacy program
  • Data Protection Impact Assessment (DPIA)
  • Product / project management

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