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The Big (data) Bang: Opportunities and challenges for compiling SDG indicators
Friedrich-Ebert-Stiftung; United Nations Development Programme; Universitetet i Oslo; Julien J. Studley Graduate Programs in International Affairs, New York
Full text restriction information:Access to this article is restricted until 12 months after publication by request of the publisher.
Restriction lift date:2021-01-28
Citation:MacFeely, S. (2019) 'The Big (data) Bang: Opportunities and Challenges for Compiling SDG Indicators', Global Policy, 10(S1), pp. 121-133. doi: 10.1111/1758-5899.12595
Official statisticians around the world are faced with the herculean task of populating the Sustainable Development Goals global indicator framework. As traditional data sources appear to be insufficient, statisticians are naturally considering whether big data can contribute anything useful. While the statistical possibilities appear to be theoretically endless, in practice big data also present some enormous challenges and potential pitfalls: legal; ethical; technical; and reputational. This paper examines the opportunities and challenges presented by big data for compiling indicators to support Agenda 2030.
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