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    Open Data in Developing Economies

    Toward Building an Evidence Base on What Works and How

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    Author(s)
    Verhulst, Stefaan G.
    Young, Andrew
    Collection
    ScholarLed
    Language
    English
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    Abstract
    Recent years have witnessed considerable speculation about the potential of open data to bring about wide-scale transformation. The bulk of existing evidence about the impact of open data, however, focuses on high-income countries. Much less is known about open data’s role and value in low- and middle-income countries, and more generally about its possible contributions to economic and social development. Open Data for Developing Economies features in-depth case studies on how open data is having an impact across the developing world-from an agriculture initiative in Colombia to data-driven healthcare projects in Uganda and South Africa to crisis response in Nepal. The analysis built on these case studies aims to create actionable intelligence regarding: (a) the conditions under which open data is most (and least) effective in development, presented in the form of a Periodic Table of Open Data; (b) strategies to maximize the positive contributions of open data to development; and (c) the means for limiting open data’s harms on developing countries.
    URI
    http://library.oapen.org/handle/20.500.12657/28916
    Keywords
    open data; open government data; impact; developing world; Developing country; Open data
    OCN
    1076786531
    Publisher
    African Minds
    Publisher website
    https://www.africanminds.co.za/
    Publication date and place
    2017
    Classification
    Computing and Information Technology
    Pages
    284
    Public remark
    Relevant Wikipedia pages: Developing country - https://en.wikipedia.org/wiki/Developing_country; Open data - https://en.wikipedia.org/wiki/Open_data; 21-7-2020 - No DOI registered in CrossRef for ISBN 9781928331599
    Rights
    http://creativecommons.org/licenses/by-4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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