From Quality to Information Quality in Official Statistics

30 Pages Posted: 17 Apr 2014

See all articles by Ron S. Kenett

Ron S. Kenett

KPA Ltd.; The Samuel Neaman Institute, Technion; University of Turin and College Carlo Alberto

Galit Shmueli

Institute of Service Science, National Tsing Hua University, Taiwan

Date Written: April 15, 2014

Abstract

The term quality of statistical data, developed and used in official statistics and international organizations such as the IMF and the OECD, refers to the usefulness of summary statistics generated by producers of official statistics. Similarly, in the context of survey quality, official agencies such as Eurostat, NCSES and Statistics Canada created dimensions for evaluating the quality of a survey for obtaining 'accurate survey data'.

The concept of Information Quality, or InfoQ, (Kenett and Shmueli, 2014), provides a general framework applicable to data analysis in a broader sense than summary statistics: InfoQ is defined as "the potential of a dataset to achieve a specific goal using a given empirical analysis method." It relies on identifying and examining the relationships between four components: the analysis goal, the data, the data analysis, and the utility. The InfoQ framework relies on eight dimensions used to deconstruct InfoQ and thereby provide an approach for assessing it.

We compare and contrast the InfoQ framework and dimensions with those typically used by statistical agencies. We discuss how the InfoQ approach can support using official statistics not only by government for policy decision making, but also by other stakeholders such as industry by integrating official and organizational data.

Keywords: InfoQ, survey data, decision making, industry

Suggested Citation

Kenett, Ron S. and Shmueli, Galit, From Quality to Information Quality in Official Statistics (April 15, 2014). Available at SSRN: https://ssrn.com/abstract=2425216 or http://dx.doi.org/10.2139/ssrn.2425216

Ron S. Kenett

KPA Ltd. ( email )

Raanana
Israel
+97297408442 (Phone)
+97297408443 (Fax)

HOME PAGE: http://www.kpa-group.com

The Samuel Neaman Institute, Technion ( email )

University of Turin and College Carlo Alberto ( email )

Lungo Dora Siena 100
Torino, 10153
Italy

Galit Shmueli (Contact Author)

Institute of Service Science, National Tsing Hua University, Taiwan ( email )

Hsinchu, 30013
Taiwan

HOME PAGE: http://www.iss.nthu.edu.tw

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