Statistics Denmark’s presentation of metadata Seminar on ESA 2010 Metadata June 2017 Thomas Olsen, National Accounts Statistics Denmark tol@dst.dk

Klassifikationsdatabase Integration of metadata in Statistics Denmark – the vision we are working towards StatBank Methods / ”Survey” Methods papers Quality reports Concept Variable/dataset Concepts database Hvad betyder Variable database Classifications Klassifikationsdatabase Class database

Quality reports – content is what is covered by SIMS Help for the user to understand the statistics – providing information on the frame we have worked within Explain the content of the statistics History Purpose of the statistics Content – population, variables etc. Quality = Fitness for use Quality of contents: Relevance, Accuracy & reliability, Timeliness and punctuality, Coherence & comparability, Accessibility and clearness

Starting point for quality reports Starting point is Code of Practise and ESS Quality assurance framework Indicator 4.3 – reporting of quality Indicator 15.5 – metadata are documented according to standardised metadata systems Standards: SIMS - Single Integrated Metadata Structure ESQR - ESS Standard for Quality Reports Structure ESMS - Euro-SDMX Metadata Structure GSBPM - Generic Statistics Business Process Model Because we want the quality work to be incorporated in the whole process

Quality reports in Statistics Denmark are presented at three levels User oriented “Front page” to appear at Statistics Denmark’s website, with a short description of the 9 headlines From the front page one can open around 60 headlines Producer oriented From our intranet, one can open around 100 specified topics (SIMS) SIMS topics cover the more detailed quality report. Links to annexes Prepared in Danish and English

Same presentation of quality reports for all statistical products

Presentation on dst.dk – front page

Presentation on dst.dk – more details

Presentation on intranet When preparing the quality report - start from most detailed level

Development and maintenance of quality reports is a cooperation between quality coordinator and subject matter responsible Edit mode QA mode Changes made by subject matter responsible Return to QA Approved by QC Disseminated at www.dst.dk (by subject matter responsible) Cycle: Every new dissemination of a statistics is followed by an updated quality report

Communication is crucial – which language to use when writing? Short easy to understand sentences Recommendation is – have a ”high school graduate” in mind Say one thing at the time Use simple words and explain difficult words Be concise Be explicit

Streamlining and harmonising metadata and quality reporting Once for all purposes reporting Each concept is only reported upon once and is re-usable Integrated and consistent quality and metadata Reporting framework where the reports are stored in the same database A flexible and up to date system Where future extensions are possible by adding new concepts  Single Integrated Metadata Structure” (SIMS) A dynamic and unique inventory of ESS quality and metadata statistical concepts has been created All statistical concepts of the two existing ESS report structures (ESMS and ESQRS) have been included and streamlined by assuring that all concepts appear and are therefore reported upon only once

Publish at the Intranet Send Quality report to EU Publish at www.dst.dk Enter SIMS fields METADATA IN COLECTICA Publish at the Intranet Send Quality report to EU 13

Link between national and ESS quality reports Our national quality reports are aligned with SIMS The idea is in one product to cover all customers (national, EU, international – e.g. MIP, SDDS). Issue with granularity Eurostat domains (MAIN, SEC, REG, SUT) Statistics Denmark domains (Annual, quarterly, employment, REG) In order to automatize completely, a one-to-one relationship between fields is needed