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

Thilo Klein and Stefaan Verhulst
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Stefaan Verhulst: The GovLab, New York University

No 2017/6, OECD Statistics Working Papers from OECD Publishing

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.

Keywords: Big Data; business model; data ecosystem; official statistics; public-private partnership (PPP) (search for similar items in EconPapers)
JEL-codes: C55 C81 C82 (search for similar items in EconPapers)
Date: 2017-05-05
New Economics Papers: this item is included in nep-mkt and nep-pay
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:oec:stdaaa:2017/6-en

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