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Data Quality: Thinking about Quality and DDI Metadata

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Abstract

Data quality is a topic which is often discussed and attracts a lot of interest, but the way in which it is approached varies widely. This, our fourth webinar of the 2021 series took place on 18 November and examined different approaches in the use of metadata for describing data quality from the perspective of data producers in official statistics and in the scientific and research domains, and how DDI fits into this picture. Some data providers will attempt to assert their data quality as a function of certification for the services they provide, and the richness of their metadata. In the official statistics world, additional descriptive metadata is provided according to agreed quality frameworks. DDI supports both approaches, and the details of each are explored in this webinar. Presenters were: Arofan Gregory, Chair, CDI Working Group, DDI Alliance / CODATA Kaia Kulla, Statistics Estonia The session was introduced by Laura Molloy, CODATA; and the question and answer session was moderated by Alina Danciu, Sciences Po.
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Dates and versions

hal-03940780 , version 1 (16-01-2023)

Licence

Attribution - ShareAlike - CC BY 4.0

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Laura Molloy, Arofan Gregory, Kaia Kulla, Alina Danciu. Data Quality: Thinking about Quality and DDI Metadata. CODATA and DDI Alliance Training Webinars Series, Nov 2021, Online, France. ⟨10.5281/zenodo.6250609⟩. ⟨hal-03940780⟩
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