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Access to new data sources for statistics: Business models and incentives for the corporate sector

Author

Listed:
  • Thilo Klein
  • Stefaan Verhulst

    (The GovLab, New York University)

Abstract

New data sources, commonly referred to as “Big Data”, have attracted growing interest from National Statistical Institutes. They have the potential to complement official and more conventional statistics used, for instance, to determine progress towards the Sustainable Development Goals (SDGs) and other targets. However, it is often assumed that this type of data is readily available, which is not necessarily the case. This paper examines legal requirements and business incentives to obtain agreement on private data access, and more generally ways to facilitate the use of Big Data for statistical purposes. Using practical cases, the paper analyses the suitability of five generic data access models for different data sources and data uses in an emerging new data ecosystem. Concrete recommendations for policy action are presented in the conclusions.

Suggested Citation

  • Thilo Klein & Stefaan Verhulst, 2017. "Access to new data sources for statistics: Business models and incentives for the corporate sector," OECD Statistics Working Papers 2017/6, OECD Publishing.
    • Handle: RePEc:oec:stdaaa:2017/6-en
    DOI: 10.1787/9a1fa77f-en
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    Cited by:

    1. Julien Mercille, 2021. "Inclusive Smart Cities: Beyond Voluntary Corporate Data Sharing," Sustainability, MDPI, vol. 13(15), pages 1-13, July.

    More about this item

    Keywords

    Big Data; business model; data ecosystem; official statistics; public-private partnership (PPP);
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access

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