Updating the paradigm of official statistics: New quality criteria for integrating new data and methods in official statistics
| Autor: | Peter Struijs, Arnout van Delden, Winfried Ypma, Olav ten Bosch, Piet J. H. Daas, Joep Burger, Jan van den Brakel, Kees Zeelenberg, Sofie De Broe |
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| Rok vydání: | 2021 |
| Předmět: |
Economics and Econometrics
Official statistics Computer science media_common.quotation_subject 02 engineering and technology 01 natural sciences Data science Management Information Systems 010104 statistics & probability 020204 information systems 0202 electrical engineering electronic engineering information engineering Quality (business) 0101 mathematics Statistics Probability and Uncertainty media_common |
| Zdroj: | Statistical Journal of the IAOS. 37:343-360 |
| ISSN: | 1875-9254 1874-7655 |
| Popis: | This paper aims to elicit a discussion of the existence of a paradigm shift in official statistics through the emergence of new (unstructured) data sources and methods that may not adhere to established and existing statistical practices and quality frameworks. The paper discusses strengths and weaknesses of several data sources. Furthermore, it discusses methodological, technical and cultural barriers in dealing with new data and methods in data science; cultural as in the culture that reigns in an area of expertise or approach. The paper concludes with suggestions of updating the existing quality frameworks. We take the position that there is no paradigm shift but that the existing production processes should be adjusted and that existing quality frameworks should be updated in order for official statistics to benefit from the fusion of data, knowledge and skills among survey methodologists and data scientists. |
| Databáze: | OpenAIRE |
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