Research into governance models for Smart Data
Research into the design of a cross-economy Smart Data governance model.
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The Department for Business and Trade (DBT) commissioned the Public Service Consultants (PSC) to complete research that focused on developing possible models for a cross-economy Smart Data governance framework. The conclusions from this project will inform future Smart Data governance framework development.
The report includes the findings from:
- a literature review
- interviews
- focus groups
- governance model design
- an evaluation of the possible options to identify the possible future models for governance of Smart Data
The research concluded with 2 model recommendations for future Smart Data governance.
Medium-term model recommendation: federated governance
Recommendations for federated governance include:
- sector-specific implementation entities to lead delivery in each sector (appointed by competitive process)
- a Smart Data co-ordination entity (central body within DBT) to set common standards, accredit third parties, manage cross-sector services such as authentication
- existing regulators would enforce compliance with data sharing mandates and standards in their sector, working closely with the sector-specific implementation entities
Federated governance would allow sectors to progress at different speeds while ensuring coherence and interoperability across the Smart Data economy.
Longer-term model recommendation: centrally-led governance
Recommendations for centrally-led governance include:
- over time, government should consider moving toward a more centrally-led model
- central entity takes on more governance functions – for example, standards development, customer protection and engagement, regulatory compliance and implementation function
Centrally-led governance would reduce duplication, improve consistency, and strengthen cross-sector data sharing.
Governance models should be reviewed every 5 years to adapt as Smart Data matures.