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The Big (data) Bang: Opportunities and Challenges for Compiling SDG Indicators
Author(s) -
MacFeely Steve
Publication year - 2019
Publication title -
global policy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.602
H-Index - 33
eISSN - 1758-5899
pISSN - 1758-5880
DOI - 10.1111/1758-5899.12595
Subject(s) - big data , data science , task (project management) , computer science , sustainable development , management science , political science , economics , management , data mining , law
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.