Governance is one of Barometer’s four pillars, or areas of assessment, and it is examined as a core module given its foundational importance across all aspects of data activity.
Effective governance of data for the public good involves developing and implementing rules, processes, and structures to ensure that data is reliable, trustworthy, and comprehensive. It is also critical to ensure that sensitive data is protected, while non-personal datasets are shared or opened for re-use.
This section includes a number of country-level data governance indicators on the presence of regulatory regimes for data protection and open data regulatory frameworks, as well as identifying emerging frameworks for data sharing and management. These indicators will explore the extent to which the collection, sharing, and secure management of specific datasets are safeguarded and optimized through laws, regulations, policies, infrastructure, and guidance.
The methodology and data collection processes of this first pilot edition of the Global Data Barometer will be assessed and reviewed for the next edition.
Data analysis does not necessarily represent the views, positions or opinions of the individual partner organizations, and any errors or omissions are the sole responsibility of the Global Data Barometer project.