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Under What Conditions Are Data Valuable for Development ?

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

Abstract

Data produced by the public sector can have transformational impacts on development outcomesthrough better targeting of resources, improved service delivery, cost savings in policy implementation, increasedaccountability, and more. Around the world, the amount of data produced by the public sector is increasing at a rapidpace, yet their transformational impacts have not been realized fully. Why has the full value of these data notbeen realized yet This paper outlines 12 conditions needed for the production and use of public sector data to generatevalue for development and presents case studies substantiating these conditions. The conditions are thatdata 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 aresafe to use (are impartial, confidential, and appropriate).

Suggested Citation

  • Jolliffe,Dean Mitchell & Mahler,Daniel Gerszon & Veerappan,Malarvizhi & Kilic,Talip & Wollburg,Philip Randolph, 2021. "Under What Conditions Are Data Valuable for Development ?," Policy Research Working Paper Series 9811, The World Bank.
    • Handle: RePEc:wbk:wbrwps:9811
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    1. Michler, Jeffrey D. & Josephson, Anna & Kilic, Talip & Murray, Siobhan, 2022. "Privacy protection, measurement error, and the integration of remote sensing and socioeconomic survey data," Journal of Development Economics, Elsevier, vol. 158(C).

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