Data governance frameworks for official statistics and the integration of alternative sources

Author:

Križman Irena1,Tissot Bruno12

Affiliation:

1. International Statistical Institute, Switzerland

2. Bank for International Settlements, Switzerland

Abstract

Well-defined data governance frameworks have proved instrumental in supporting official statisticians’ task to collect and analyse data of the highest quality possible. However, an institution-level approach to data governance should be complemented by a broader focus covering the entire production and use of national statistics, including alternative sources. For instance, by ensuring the following of adequate Codes of Principles by private data providers, clarifying the responsibilities in the national governance landscape, and establishing proper international guidelines and cooperation mechanisms. Moreover, while national statistical systems are facing a decline in their traditional function of “data collectors”, they have a key role to play as reference custodians of the quality of the data used by society. Establishing sound data governance frameworks based on widely accepted standards can be a central element in supporting this “data curator approach”.

Publisher

IOS Press

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Management Information Systems

Reference10 articles.

1. New developments in central bank statistics around the world;Rosolia;Statistical Journal of the IAOS,2021

2. The quality assurance of official statistics in Japan: Framework and practice;Takahashi;Statistical Journal of the IAOS,2018

3. Ibid., ref. [13] above.

4. Ibid., ref. [1] above.

5. Ibid., ref. [13] above.

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