Access to New Data Sources for Statistics: Business Models and Incentives for the Corporate Sector

PARIS21, Discussion Paper No. 10, March 2017

37 Pages Posted: 22 Mar 2018

See all articles by Thilo Klein

Thilo Klein

ZEW – Leibniz Centre for European Economic Research

Stefaan Verhulst

New York University (NYU) - The GovLab

Date Written: March 1, 2017

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, official statistics, data ecosystem, business model, public-private partnership (PPP)

Suggested Citation

Klein, Thilo and Verhulst, Stefaan, Access to New Data Sources for Statistics: Business Models and Incentives for the Corporate Sector (March 1, 2017). PARIS21, Discussion Paper No. 10, March 2017. Available at SSRN: https://ssrn.com/abstract=3141446 or http://dx.doi.org/10.2139/ssrn.3141446

Thilo Klein

ZEW – Leibniz Centre for European Economic Research ( email )

P.O. Box 10 34 43
L 7,1
D-68034 Mannheim, 68034
Germany

Stefaan Verhulst (Contact Author)

New York University (NYU) - The GovLab ( email )

Bobst Library, E-resource Acquisitions
20 Cooper Square 3rd Floor
New York, NY 10003-711
United States

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
39
Abstract Views
346
PlumX Metrics