United Nations Economic Commission for Europe Statistical Division United Nations Economic Commission for Europe Statistical Division UNECE Training Workshop on Dissemination of MDG Indicators and Statistical Information Astana, Kazakhstan 23 – 25 November 2009 Steven Vale, UNECE Measuring and Communicating Data Quality
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United Nations Economic Commission for Europe Statistical Division United Nations Economic Commission for Europe Statistical Division
UNECE Training Workshop on Dissemination of MDG Indicators and Statistical Information
Astana, Kazakhstan 23 – 25 November 2009 Steven Vale, UNECE
Measuring and Communicating Data Quality
Steven Vale - UNECE Statistical Division Slide 2
What is quality?
How can we measure quality?
How should we report and communicate quality?
Contents
Steven Vale - UNECE Statistical Division Slide 3
Which is the Best Quality?
Steven Vale - UNECE Statistical Division Slide 4
Definition of Quality
International Standard ISO 9000/2005 defines quality as;
'The degree to which a set of inherent characteristics fulfils requirements.’
Steven Vale - UNECE Statistical Division Slide 5
What Does This Mean? Whose requirements?
• The user of the goods or services A set of inherent characteristics?
• Users judge quality against a set of criteria reflecting the different characteristics of the goods or services
So quality is all about providing goods and services that meet the needs of users (customers)
Steven Vale - UNECE Statistical Division Slide 6
Quality Criteria
Steven Vale - UNECE Statistical Division Slide 7
Quality Criteria for Statistics Different statistical organisations use
different criteria - but lists of criteria are quite similar
The closeness of statistical estimates to true values
In the past: Quality = Accuracy Now accuracy is just one part of
quality
Steven Vale - UNECE Statistical Division Slide 10
Timeliness The length of time between data
being made available and the event or phenomenon they describe
Punctuality The time lag between the actual
delivery date and the promised delivery date
Steven Vale - UNECE Statistical Division Slide 11
Comparability The extent to which differences are
real, or due to methodological or measurement differences • Comparability over time • Comparability through space (e.g.
between countries / regions) • Comparability between statistical domains
(sometimes referred to as coherence)
Steven Vale - UNECE Statistical Division Slide 12
Accessibility The ways in which users can obtain or
benefit from statistical services (pricing, format, location, language etc.)
Clarity The availability of additional material
(e.g. metadata, charts etc.) to allow users to understand outputs better
Steven Vale - UNECE Statistical Division Slide 13
Importance of Accessibility
Not just about making data available on the Internet or in a book • Passive accessibility
Accessibility is about bringing data to users in an understandable way, opening a dialogue with those users, and ensuring that their information needs are met • Active accessibility