Under What Conditions Are Data Valuable for Development ?

Dean Jolliffe, Daniel Gerszon Mahler, Malarvizhi Veerappan, Talip Kilic and Philip Randolph Wollburg

No 9811, Policy Research Working Paper Series from The World Bank

Abstract: Data produced by the public sector can have transformational impacts on development outcomes through better targeting of resources, improved service delivery, cost savings in policy implementation, increased accountability, and more. Around the world, the amount of data produced by the public sector is increasing at a rapid pace, yet their transformational impacts have not been realized fully. Why has the full value of these data not been realized yet This paper outlines 12 conditions needed for the production and use of public sector data to generate value for development and presents case studies substantiating these conditions. The conditions are that data need to have adequate spatial and temporal coverage (are complete, frequent, and timely), are of high quality (are accurate, comparable, and granular), are easy to use (are accessible, understandable, and interoperable), and are safe to use (are impartial, confidential, and appropriate).

Keywords: Health Care Services Industry; Inequality; Hydrology; Gender and Development; Water Supply and Sanitation Economics; Sanitary Environmental Engineering; Small Private Water Supply Providers; Health and Sanitation; Water and Human Health; Town Water Supply and Sanitation; Sanitation and Sewerage; Engineering; Environmental Engineering (search for similar items in EconPapers)
Date: 2021-10-19
New Economics Papers: this item is included in nep-env
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Citations: View citations in EconPapers (1)

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