The Digital Trade and Data Governance Hub (the Hub) seeks to help policymakers and the public understand how governments are tackling this evolving responsibility of governing data.
Data governance, like the data-driven economy, is constantly evolving, reflecting changes in technology,
society, and policymakers ’will and expertise. Consequently, data governance is a work in progress and a different experience for all nations. Nations adopting a comprehensive approach develop strategies, policies, and processes, adapt organizational structures and work to accommodate different types and contexts for data use and re-use.Governments that can accommodate such change in a responsive, competent, and anticipatory manner are likely to build and maintain trust in their institutions.
This dataset divides data governance into six primary attributes: strategic, regulatory, responsible, structural, participatory and international. These attributes can be thought of as the different dimensions of action a nation takes as it works to govern data in a comprehensive manner.
Last updated by source: 2022-07-21
| Dataset type: | Cross-section |
| Dataset level: | Country |
(Struett et al.,
2023)
The international indicator of the Global Data Governance dataset measures whether the government joins with other nations in shared international efforts to establish data governance rules and norms. This variable is compiled from the following indicators: Convention 108+, Open Government Partnership OECD, AI Principles, Binding Trade Agreements on Cross-Border Data Flows, and Budapest Convention. It is measured on a scale of 0-100.
More about this variableThe participatory indicator of the Global Data Governance dataset measures whether the government informs its constituents about its activities and asks for public comment, with the intention of incorporating their feedback. This variable is compiled from the following indicators: Public Consultation on Data, Government Response to Consultation, and Multistakeholder Advisory Body It is measured on a scale of 0-100.
More about this variableThe regulatory indicator of the Global Data Governance dataset measures whether the government constructs a legal and regulatory regime around various types of data. Specifically, policymakers enact rules regarding the collection, use, and reuse of data for data subjects, data controllers, and/or data users. Regimes related to data may include aws and/or executive orders, directives, decrees, regulations, administrative codes, proclamations, etc., so long as it is mandatory, binding, and enforceable This variable is compiled from the following indicators: Personal Data Protection Law, Open Data Law for the proactive release of government information, Freedom of Information Act, Right to be protected from Automated Decision-Making, and Right of Data Portability It is measured on a scale of 0-100.
More about this variableThe responsible indicator of the Global Data Governance dataset measures whether the government thinks about the ethical, trust, and human rights implications of data use and re-use. This variable is compiled from the following indicators: Data Charter, Public Sector Data Ethics Framework, Responsible AI Initiatives, Trust Framework for Digital Identity, and Management Guidelines for non-governmental data sharing It is measured on a scale of 0-100.
More about this variableThe strategic indicator of the Global Data Governance dataset concerns the following: the government has a vision or plan for different types of data in the economy and polity. This variable is compiled from the following indicators: National Data Strategy, Public Administration Strategy, AI Strategy, and Strategy for Data in Emerging Digital Ecosystems. It is measured on a scale of 0-100.
More about this variableThe structural indicator of the Global Data Governance dataset measures whether the government alters institutional structures in response to data-driven transformation. This variable is compiled from the following indicators: Personal Data Protection Body, Open Data Portal, Open Data Coordinating Body, and Public Sector Data Governance Body. It is measured on a scale of 0-100.
More about this variableThis variable scores countries based on the six attributes of data governance (strategic, regulatory, responsible, structural, participatory and international). It is measured on a scale from 0-100
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