Towards an international data governance framework

Author:

MacFeely Steve1,Me Angela2,Fu Haishan3,Veerappan Malarvizhi3,Hereward Mark4,Passarelli David5,Schüür Friederike6

Affiliation:

1. World Health Organization, Geneva, Switzerland

2. United Nations Office for Drugs and Crime, Vienna, Austria

3. World Bank, Washington DC, USA

4. United Nations Children’s Fund, New York, USA

5. United Nations University Centre for Policy Research, New York, USA

6. Global Pulse, New York, USA

Publisher

IOS Press

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Management Information Systems

Reference4 articles.

1. Data Matters: A Strategic Action Framework for Data Governance

2. In search of the Data Revolution: Has the official statistics paradigm shifted;MacFeely;Statistical Journal of the International Association of Official Statistics,2020

3. The Big (data) Bang: Opportunities and Challenges for Compiling SDG Indicator;MacFeely;Global Policy,2019

4. The role of international organizations in statistical standards setting and outreach: An overview of the UNCTAD contribution;Peltola;Statistical Journal of the International Association of Official Statistics,2022

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1. IDMU: Impact Driven Machine Unlearning;2023 IEEE International Conference on Big Data (BigData);2023-12-15

2. Driving Excellence in Official Statistics: Unleashing the Potential of Comprehensive Digital Data Governance;Big Data and Cognitive Computing;2023-07-29

3. Strengthening health data governance: new equity and rights-based principles;International Journal of Health Governance;2023-03-08

4. Informing the Global Data Future: Benchmarking Data Governance Frameworks;Data & Policy;2023

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