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The UAE’s Smart Data Framework

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Last Updated on April 1, 2024

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The UAE’s Smart Data Framework (Framework) is a vital part of the UAE National Plan for Smart Government. The Framework places great emphasis on the efficient and effective use of data within government functions to drive innovation and engagement.

The Smart Data Framework is designed to be a dynamic roadmap document that adapts to the most immediate challenges within the data privacy and protection landscape, cementing the UAE's reputation as a country dedicated to ensuring its residents' data rights are afforded the appropriate degree of protection and security.

There are three levels of the Framework, i.e., Smart Data Principles, Smart Data Standards, and Smart Data Implementation Guide.

The Smart Data Principles are a set of principles that govern all relevant aspects of how data is to be created, managed, used, and reused within the UAE. The Smart Data Standards comprise of three distinct core standards, i.e., Data Classification, Data Exchange, and Data Quality, that dictate specific details related to dataset processing and data management. Lastly, the Smart Data Implementation Guide is a set of various guidance notes that are meant to facilitate organizations in their implementation of Smart Data Principles and Smart Data Standards.

The UAE’s Smart Data Framework

Each of these provides a unique set of principles, standards, and supporting guide notes that organizations aiming to implement the Framework can leverage to ensure their data management processes align with the requirements.

The Framework applies to all federal government entities (FGE), local government entities, semi-government entities, and private sector entities that use or share any data that originates in the UAE.

The Solution

Securiti empowers all organizations to ensure compliance with the requirements and obligations of the Smart Data Framework with the help of its plethora of products, which include, but are not limited to, AI-enabled data discovery & classification, DSR automation, universal consent management, documented accountability, data breach management, data access intelligence, data security posture management, as well as vendor risk assessment.

The solutions mentioned above are backed up by industry-leading artificial intelligence and machine-learning-based algorithms, cementing Securiti’s authority as a market leader in data privacy, security, compliance, and governance solutions.

The UAE’s Smart Data Framework

Request a demo today to learn how Securiti can help you and your organization comply with the UAE’s Smart Data Framework.

Automate Data Protection and Privacy

DE 6, DE6.1, DE6.4

Ensure compliance with any and all data protection and privacy requirements by leveraging a combination of tools and solutions that guarantee all regulatory obligations are appropriately addressed. .

Automate Data Protection and Privacy
Automate Gap Assessments

Automate Gap Assessments


Automate timely internal compliance assessments of all data collection and processing-related mechanisms, processes, and practices to identify and address any potential blind spots adequately.

Automate Consumer Data Rights Request Handling


Automate the entire process related to fulfilling consumer data rights-related requests and gain real-time updates on the status of each request via the central dashboard.

UAE Automate Consumer Data Rights Request Handling
Generate RoPA Reports

Generate RoPA Reports


Track data flows in and out of your organization's data infrastructure, trace this data, and catalog, transfer, and document business process flows internally and to service providers or third parties. These insights can then be used to automate the generation of a record of processing activities (RoPA) to comply with all necessary documentation-related regulatory requirements.

Monitor and Track Consent


Ensure compliance with the framework’s consent-related provisions across all major data processing activities by monitoring users' consent status via the central dashboard. Doing so allows organizations to prevent any processing or potential transfer, sharing, or selling of data to third parties unless explicitly consented to by the users.

UAE Monitor and Track Consent
breach response notification

Automate Data Breach Response Mechanism


Automate data breach response notifications to all concerned stakeholders as soon as legally obliged by leveraging a knowledge database on security incident diagnosis and response.

Privacy Policy and Notice Management


Automate the generation of a privacy policy that adequately informs the users about your organization's data processing practices while being fully compliant with all applicable provisions of law.

UAE Privacy Policy & Notice Management
Data Classification and Labeling

Data Classification and Labeling

DC1, DE2.1, DE2.4

Classify & label data without your organization's data infrastructure to ensure appropriate security controls are enabled on the most sensitive data in your organization. Leverage the same module to identify sensitive files such as consent forms and financial statements and record them under appropriate categories.

Data Security Posture Management


Gain comprehensive visibility into data assets across public clouds, data clouds, SaaS, and on-premises environments, in addition to contextual data insights, including people ownership, regulatory obligations, and security and privacy metadata.

Data Security Posture Management
Data Access Intelligence

Data Access Intelligence


Gain vital insight into who is accessing sensitive data, as well as the geographic region, specific system, or regulations tied to that data. Additionally, review these access privileges over time, adjust per necessity, and generate reports for audit purposes.

Data Access Controls

DE7.1, DE7.2

Automate policies related to personnel and application access to data based on the type, sensitivity, system, location, or regulation. Use AI-based models that automatically calculate over-privileged users and roles and recommend changes to enforce a least-privileged access model.

Data Access Controls
Data In Motion

Data in Motion

DE2.1, DE2.6

Gain real-time visibility and control over sensitive data flowing through all cloud streaming platforms in use within your organization’s data infrastructure while managing data access based on the sensitivity of data.

Data Catalogs

DE3, DE2.4

Automate collection of metadata across all connected systems, providing an accurate overview of all data assets, including sensitive data.

Data Catalogs

Automate Data Quality

DQ2, DQ3.5, DQ3.6, DQ3.7

Establish workflows that allow data stewards to act on data quality information and add tagging to data while being connected to all data quality tool sets in use within your organization’s data infrastructure.

Overview of the Smart Data Framework

Here are some key facts to know about the Smart Data Framework:


The Smart Data Framework comprises three levels, i.e., Smart Data Principles, Smart Data Standards, and Smart Data Implementation Guide;


There are 10 key Smart Data Principles:

    1. Data as an asset
      Entities are expected to manage all their data as a collective national asset, acting as custodians of that data on behalf of the UAE to enable service-oriented government, support evidence-based decision-making, and promote transparency and citizen engagement.
    2. Sharing and re-use of data
      Entities are expected to closely cooperate and collaborate to maximize the sharing and re-use of data in the UAE to enhance the quality of government services.
    3. Duplication of data
      Entities are expected to cooperate and collaborate to avoid instances of duplication and inconsistencies within their data sources, adopting the concept of a “single source of truth.”
    4. Open Data publication
      Entities are expected to provide a greater degree of access to information for all users across the UAE while also publishing non-personal data openly wherever possible.
    5. Privacy, confidentiality, and Intellectual Property Rights
      Entities are expected to undertake all possible measures to protect the privacy of individuals, the confidentiality of organizations, and the legal rights of intellectual property holders at all times to secure the broad social benefits of data exchange while respecting the rights of individuals and organizations.
    6. Open standards
      Entities are expected to adopt open standards to make it easy for others to discover, interoperate with, and consume their data as a service, making government service automation easier.
    7. Data quality
      Entities are expected to improve their data quality over time to enable the efficient and effective delivery of customer-centric services, improve the accuracy of evidence-based decision-making, and develop user confidence in both.
    8. Data insights
      Entities are expected to maximize the insights derived from their and others’ data by facilitating the collection, analysis, and use of real-time or near-real-time data.
    9. Collaborative governance
      Entities are expected to participate in UAE-wide shared services and collaborative governance mechanisms for smart data to promote greater cross-organizational collaboration and efficiency.
    10. Continuous improvement
      Entities are expected to proactively adopt improvements and manage change over a sustained period of time, focused on creating an open, data-driven, and data-sharing culture.

The Smart Data Standards are grouped into three categories, i.e., Data Classification Standard, Data Exchange Standard, and Data Quality Standard;


Data Classification Standard (DC) sub-specifications are:

    1. Data Classification Criteria (DC1);
    2. Rules for Opening & Sharing Classified Data (DC2).

Data Exchange Standard (DE)sub-specifications are:

    1. Data Formats (DE1);
    2. Metadata (DE2);
    3. Data Schema (DE3);
    4. Open Data Licensing (DE4);
    5. Data Commercialisation & Fair Trading Policy (DE5);
    6. Data Protection & Privacy Policy (DE6);
    7. Shared Data Access Permissions (DE7).

Data Quality Standard (DQ) sub-specifications are:

    1. Data Quality Principles (DQ1);
    2. Data Quality Matrix (DQ2);
    3. Data Quality Improvement Plan (DQ3).

Each of these three standards contains a set of Smart Data Specifications, including Dataset Processing Specifications and Data Management Specifications.

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