SADAIA Data Management

What is SADAIA Data Mangement?

The Saudi Data and Artificial Intelligence Authority (SDAIA) is responsible for leading the digital transformation and advancing data and artificial intelligence capabilities in Saudi Arabia. While specific data management and personal data protection standards associated with SDAIA are not widely available, it is important to note that Saudi Arabia has implemented data protection regulations and standards for the handling of personal data. The main data protection regulation in Saudi Arabia is the “Saudi Arabian Data and Artificial Intelligence Authority (SDAIA) Personal Data Protection Law.” This law sets forth guidelines and requirements for the protection of personal data within the country. It establishes principles for the lawful collection, processing, storage, and sharing of personal data, as well as the rights of individuals regarding their personal data

The components of SADAIA Data Management and Personal Data Protection Standards

• Strategy and Plan
• Policy and Guidelines
• Training and Awareness
• Data Management Organization
• Compliance Audit Framework
• Data Lifecycle Governance
• Performance Management
• Artifacts

The methodology of SADAIA data management and personal data protection standards

Strategy and Plan: establish a Data Management and Personal Data Protection Strategy and develop a Data Management and Personal Data Protection Plan

Policy and Guidelines: As part of the Policy and Guidelines control, the Entity shall conduct a Data Management and Personal Data Protection Policy and Guidelines gap analysis

Training and Awareness: conduct a Data Management and Personal Data Protection training to promote the agenda and enable a data-centric culture.

Data Management Organization: establish a Data Management Office and a Data Management Committee, and identify and appoint the relevant Data Governance roles.

Compliance Audit Framework: establish Data Management and Personal Data Protection Compliance Management practices and document audit results and findings.

Data Lifecycle Governance: conduct periodic reviews for the Data Management and Personal Data Protection Plan and implement a communications capability to communicate updates.

Performance Management: establish (KPIs) to gather statistics on Data Governance and define, implement and monitor continuous improvement mechanisms for all domains

Artifacts: document in a register all data governance decisions, tracking logs and implement a version control for data management documents and artifacts