Updating the paradigm of official statistics: New quality criteria for integrating new data and methods in official statistics

Broe, Sofie De; Struijs, Peter; Daas, Piet; Delden, Arnout van; Burger, Joep; Brakel, Jaap Van; Bosch, Olav ten; Zeelenberg, Kees; Ypma, Winfried

doi:10.3233/sji-200711

Cited by 10 publications

(6 citation statements)

References 39 publications

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“…Task Team suggested a Framework for the Quality of Big Data [13] which uses a hierarchical structure composed of the three hyper-dimensions: source, metadata, and data. More recently, De Broe et al have discussed quality criteria for integrating new data and methods in official statistics [14] and concluded that the European Statistical System quality principles as laid down in the European Statistics Code of Practice and hence also in the UN-NQAF, do not need to be adapted to the emergence of new data sources. De Broe et al argue that new quality aspects associated with big data sources can be integrated into existing quality frameworks at the level below the respective quality principles.…”

Section: Approaches To Assess the Quality Of Source Datamentioning

confidence: 99%

Assuring quality in the new data ecosystem: Mind the gap between data and statistics!

Reister¹

2023

SJI

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Drawing on recent work to develop the United Nations National Quality Assurance Frameworks Manual for Official Statistics to respond to the new data ecosystem, this paper addresses three important questions now facing the statistical community: (1) How can official statistics assure the quality of data from administrative and other sources? (2) Can the quality assurance framework for official statistics be applied to data as opposed to statistics? (3) What other implications does the difference between data and statistics have for the role of official statistics in the new data ecosystem? The paper argues that statistical offices should strongly support the establishment of national data stewards but should not take on such a role themselves. Mixing responsibilities for data and official statistics risks both undermining official statistics and not doing justice to the need to develop data as an asset in a responsible way.

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Section: Approaches To Assess the Quality Of Source Datamentioning

confidence: 99%

Assuring quality in the new data ecosystem: Mind the gap between data and statistics!

Reister¹

2023

SJI

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“…The presence of Big Data is expected to have a major impact on institutions that produce, process and analyze data and information (De Broe et al, 2021). Band the Statistics Center or often abbreviated as BPS is one of these organizations.…”

Section: The Impact Of the Imposition Of Big Data Access Fees And The...mentioning

confidence: 99%

Reformulation Of Statistical Data Sources: Big Data New Data Sources Supporting Future Official Statistics?

2023

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Big Data is the new oil. The real issue of the development of information technology is the existence of Big Data. Big Data is very important, talking about Big Data not only touches the issue of how big data you have, but what can be done with the data. The high cost of Big Data access is inversely proportional to the collection of data through surveys or censuses for free. analysis of the application of efficiency theory in an economic approach in imposing access costs to statistical activities, knowing the impact of imposing Big Data access fee tariffs, knowing the potential of Big Data as a supporter of official statistics in the future, what are the obstacles and solutions in implementing it. The preparation of this paper is juridical-empirical research with the nature of descriptive research with an economic law approach. Big Data is managed for different purposes using different systems and methods and not necessarily using statistical rules. The implementation of Big Data as a new data source is carried out through a combination of data sources. The imposition of Big Data access fees as a source of data supporting official statistics causes low utilization of Big Data as a new data source. The information technology revolution makes Big Data has the potential to complement, replace, improve, add, and improve the composition of existing statistical data sources, and produce more timely outputs. Difficult access and high costs for data collection are major obstacles. Therefore, it needs to be supported by legal instruments that facilitate its implementation in Indonesia. One is the reformulation of existing regulations that make it easier for basic statistical organizations to obtain such data sources for free and use only in the national interest

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“…However, many barriers have been met that made implementation rather challenging which range from methodological to technical and cultural challenges. An overview of these can be found in [3]. In effect, Statistics Netherlands was not able to implement these new outputs until now except for the two already existing statistics (traffic intensity using traffic loop data and Consumer Price Index using the scanner data).…”

Section: The Innovation Processmentioning

confidence: 99%

The need for timely official statistics. The COVID-19 pandemic as a driver for innovation

Broe

Bosch

Daas

et al. 2021

SJI

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This paper discusses how Statistics Netherlands managed to respond quickly with a range of new outputs to the sudden increase in the need for statistical information following the outbreak of the COVID-19 pandemic. It describes the innovation process already in place, as well as the innovations in response to the pandemic. This is followed by a discussion of what made speedy innovation and implementation possible, after which lessons are drawn in order to maintain the ability to react quickly to future policy questions. One important success factor is the combination of new data sources with already existing statistics for calibration. The developments at Statistics Netherlands can be seen as a case study. Several other NSIs also accelerated innovation after the outbreak of the pandemic, such as the Australian Bureau of Statistics and the British Office for National Statistics.

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Updating the paradigm of official statistics: New quality criteria for integrating new data and methods in official statistics

Cited by 10 publications

References 39 publications

Assuring quality in the new data ecosystem: Mind the gap between data and statistics!

Assuring quality in the new data ecosystem: Mind the gap between data and statistics!

Reformulation Of Statistical Data Sources: Big Data New Data Sources Supporting Future Official Statistics?

The need for timely official statistics. The COVID-19 pandemic as a driver for innovation

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