Access to new data sources for statistics : business models and incentives for the corporate sector / Thilo Klein, Stefaan Verhulst
Mitwirkende(r): Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: OECD. OECD statistics working paper ; 2017, 06Verlag: Paris : OECD Publishing, 2017Beschreibung: 1 Online-Ressource (circa 38 Seiten) : IllustrationenSchlagwörter: Genre/Form: DOI: DOI: 10.1787/9a1fa77f-enOnline-Ressourcen: Zusammenfassung: 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.PPN: PPN: 889811385Package identifier: Produktsigel: ZDB-13-SOC | ZDB-13-SOC-ebookDieser Titel hat keine Exemplare
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