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Big, Open Data for Development: A Vision for India

Author

Listed:
  • Asher, Sam

    (Johns Hopkins University)

  • Bhowmick, Aditi

    (Development Data Lab)

  • Campion, Alison

    (Development Data Lab)

  • Lunt, Tobias

    (Development Data Lab)

  • Novosad, Paul

    (Dartmouth College)

Abstract

The government generates terabytes of data directly and incidentally in the operation of public programs. For intrinsic and instrumental reasons, these data should be made open to the public. Intrinsically, a right to government data is implicit in the right to information. Instrumentally, open government data will improve policy, increase accountability, empower citizens, create new opportunities for private firms, and lead to development and economic growth. A series of case studies demonstrates these benefits in a range of other contexts. We next examine how government can maximize social benefit from government data. This entails opening administrative data as far upstream in the data pipeline as possible. Most administrative data can be minimally aggregated to protect privacy, while providing data with high geographic granularity. We assess the status quo of the Government of India’s data production and dissemination pipeline, and find that the greatest weakness lies in the last mile: making government data accessible to the public. This means more than posting it online; we describe a set of principles for lowering the access and use costs close to zero. Finally, we examine the use of government data to guide policy in the COVID-19 pandemic. Civil society played a key role in aggregating, disseminating, and analyzing government data, providing analysis that

Suggested Citation

  • Asher, Sam & Bhowmick, Aditi & Campion, Alison & Lunt, Tobias & Novosad, Paul, 2022. "Big, Open Data for Development: A Vision for India," India Policy Forum, National Council of Applied Economic Research, vol. 18(1), pages 1-52.
  • Handle: RePEc:nca:ncaerj:v:18:y:2022:i:2022-1:p:1-52
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    File URL: https://www.ncaer.org/publication/india-policy-forum-2021
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    Citations

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    Cited by:

    1. Dang, Hai Anh H. & Jolliffe, Dean & Serajuddin, Umar & Stacy, Brian, 2024. "Country statistical capacity: a recent assessment tool and further reflections on the way forward," LSE Research Online Documents on Economics 124060, London School of Economics and Political Science, LSE Library.

    More about this item

    Keywords

    Open Data; Governance; India; Economic Growth; Public Goods Provision;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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