data-governance

Implement data governance frameworks with catalogs, ownership, access controls, and compliance policies.

3|Updated Apr 14, 2026

Search Tags:#data quality #compliance #GDPR #data ownership #data catalog #data governance #CCPA

Ready to run

npx skills add https://github.com/MayaDispeler/TheOrqestra --skill data-governance-mayadispeler

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: data-governance
Source: https://github.com/MayaDispeler/TheOrqestra/tree/main/skills/data-governance
Command: npx skills add https://github.com/MayaDispeler/TheOrqestra --skill data-governance-mayadispeler

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill unit addresses the challenge of implementing and maintaining robust data governance frameworks, ensuring compliance with standards like GDPR, CCPA, and SOC2.

Core Features & Use Cases

Data Governance Frameworks: Establish and enforce data governance policies and procedures.
Data Catalogs: Create and maintain comprehensive inventories of data assets.
Ownership Models: Assign clear ownership and accountability for data assets.
Access Controls: Implement secure access controls and encryption.
Data Quality Standards: Define and enforce data quality SLAs.
Lineage Documentation: Document data lineage for audit and impact analysis.
Compliance Policies: Ensure adherence to data privacy and compliance regulations.
Use Case: Implement a new data governance framework for a financial institution to comply with GDPR and enhance data security.

Quick Start

Apply the data-governance skill to design a data governance framework for your organization.

Frequently Asked Questions about data-governance

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

What is a data governance framework and when do I need one?▼

A data governance framework establishes policies for data ownership, access controls, and quality standards. You need a data governance framework to ensure adherence to GDPR, CCPA, and SOC2 compliance regulations across your data assets.

How do I implement data governance policies for GDPR and CCPA compliance?▼

Implement data governance for GDPR and CCPA by defining compliance policies, assigning clear data ownership, establishing access controls, and documenting data lineage for audit purposes. This ensures accountability and secure handling of regulated data assets.

What is the best way to create a data catalog with clear data ownership models?▼

The best way to create a data catalog is to inventory your data assets while assigning clear ownership and accountability models. This establishes comprehensive data lineage documentation and enforces defined data quality SLAs for ongoing asset maintenance.

How do I document data lineage for audit and impact analysis?▼

Document data lineage by tracing data origins, transformations, and destinations within your governance framework. This lineage documentation enables accurate audit trails and impact analysis for compliance standards like SOC2 and GDPR.

Can I define and enforce data quality SLAs using this governance framework?▼

Yes, you can define and enforce data quality SLAs within the governance framework. It provides mechanisms to establish quality standards and ensure data assets meet required service levels before being used in downstream compliance reporting.

Does this data governance framework support secure access controls and encryption?▼

Yes, the data governance framework supports secure access controls and encryption. It provides structures to implement strict security measures, ensuring data assets remain protected while maintaining compliance with regulatory standards.