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Going Digital to Advance Data Governance for Growth and Well-being

image of Going Digital to Advance Data Governance for Growth and Well-being

Data are generated wherever digital technologies are deployed namely, in almost every part of modern life. Using these data can empower individuals, drive innovation, enable new digital products and improve policy making and public service delivery. But as data become more widely used across sectors and applications, the potential for misuse and harm also grows. To advance data governance for growth and well-being, this report advocates a holistic and coherent approach to data governance, domestically and across borders. It examines how data have emerged as a strategic asset, with the ability to transform lives and confer economic advantage. It explains how the unique characteristics of data can pose complex trade-offs and challenge policies that pre-date the data-driven era. This report provides new insights, evidence and analysis and outlines considerations for better data governance policies in the digital age.

English

Executive summary

Data and their flow, including across borders, underpin economic activity and well-being in global digital economies and societies. The COVID-19 pandemic highlighted data’s potential to underpin crucial, life-saving services. However, it also underscored persistent gaps in the availability of data, notably real-time health data, that diminish this potential and could affect countries’ preparedness for future crises. Access to data can empower consumers to make better purchasing and lifestyle decisions, including embracing societal goals such as sustainable consumption patterns. However, this opportunity remains largely untapped. For firms, the use of data can spur productivity and innovation, but uptake of crucial data processing technologies like data analytics and artificial intelligence remains skewed towards larger firms. Governments can use data to improve the design and delivery of public policies and services, but public sector data governance frameworks are often siloed and restricted to specific domains or applications, and thus fail to address policy issues applicable to data governance across the board.

English Also available in: French, Spanish

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