Data Sharing, Integration and Interoperability

The Entity shall publish its data sharing, Integration and interoperability policy following the below guidelines

• Review the draft policy with the Entity’s Data Committee or equivalent body
• Incorporate Data Committee or equivalent body’s feedback
• Review draft policy for auditability
• Incorporate internal audit feedback
• Seek policy review and guidance from National Data Governance Office and incorporate the provided feedback
• Publish the policy on Entity’s digital channels (e.g. The entity website)
• Socialize the policy within the Entity to drive adoption and change management

In Alignment with Entity’s data strategy and based on the documented requirements and the conducted open data assessment, the Entity shall develop a Data Integration Plan to identify and orchestrate the implementation of the data sharing and integration initiatives taking into account the efforts required to migrate all internal and external data exchange and peer-to-peer applications data sharing to internal middleware platform. The plan shall include, at a minimum:

• List of activities and milestones. The plan should account for quick wins and longer-term strategic changes
• Roadmap with the activities and key milestones for the implementation of Data sharing and integration initiatives
• Owners and stakeholders
• Interdependencies, assumptions, budget, and risks

In Alignment with Entity’s data strategy and based on the documented requirements and the conducted open data assessment, the Entity shall develop an open data plan to identify and coordinate the publishing of its Open Datasets. The plan shall include, at minimum, the following:

• List of activities and milestones. The plan should account for quick wins and longer-term strategic changes
• Roadmap with the activities and key milestones for the implementation of Open Data initiatives.
• Owners and stakeholders
• Interdependencies, assumptions, budget, and risks

The Entity shall, at a minimum:

• Develop and follow an internal and external data sharing agreement template that shall be used when data shared between information systems within the Entity and other external Entities. The data sharing agreement template shall include, at minimum, the following:
  • Parties to the Agreement
  • Authorized signatories
  • Purpose of Data Sharing
  • Duration of the Agreement
  • Methods of Data Access
  • Data Access Rights and Privileges
  • Lawful basis for sharing
  • Liability Provisions
• Implement data contract template to be utilized during data products sharing within the Entity or with other external Entities. The data contract template shall include, at minimum, the following:
  • Data Contract Title and description
  • Data Contract Owner
  • Data Contract link
  • Data Contract terms (Usage, Limitations, Validity Period)
  • Data Definitions
  • Data Types
  • Data Format
  • Data Structure
  • Data Constraints
  • Data Classification

The Entity shall, at a minimum:

• Develop and maintain a data exchange directory to register all its existing data sharing and exchange internally and externally, including information on which sources are being requested, by whom, how often and for what purpose.
• Design and implement an integration layer architecture based on the Integration requirements to facilitate connecting internal and external information systems and enable the exchange of data. The integration layer architecture shall give consideration to the followings:
  • Internal data migration into and out of internal systems.
  • Includes at minimum the following data integration methods:
    • File-based data Integration
    • Message-based data Integration
    • Database to database data Integration
  • Data Orchestration: The flow of data from start to finish in the data integration architecture
  • Source-To-Target Mapping: Set of data transformation rules that determine how to convert the structure and content of data in the source system to the structure and content needed in the target system.
• Include the integration layer in the Entity’s target enterprise data architecture.

The Entity shall

• Identify and document the metadata necessary within the Open Dataset to easily identify, describe and search for it once published
• Standardized formats when publishing its datasets that are, at minimum, in machine-readable form. Common formats that meet this standard include, but may not be limited to, the following:
  • CSV - Comma Separated Values
  • JSON - JavaScript Object Notation
  • XML - Extensible Markup Language
  • RDF - Resource Description Framework
• Accompany datasets with documentation containing instructions on how to use them in relation to its published format

The Entity shall monitor and report on the Entity's Data Sharing, Integration & Interoperability efforts based on the defined KPIs. This shall include, at a minimum:

• Tracking the defined KPIs in DSII.3.1.1 through dashboards and reports

The Entity shall enhance its Data Sharing, Integration & Interoperability monitoring and reporting capabilities as follows:

• Configure an alert system supporting troubleshooting of issues in the pipelines, to ensure that the pipeline runs smoothly

• In alignment with the Open Data Policy (2014), The Entity shall maintain copy of the approved Open Data Assessment checklist for any future reference or audits. The Open Data Assessment shall be completed by Entities to ensure that there are no legal, policy, or contractual restrictions to making the Data publicly available as Open Data.