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It explains how standardisation supports modern statistical production by improving process efficiency, robustness, and the comparability of statistical outputs. Covering producer and user report requirements, it applies the Single Integrated Metadata Structure (SIMS) to harmonise quality reporting across statistical processes and Member States while helping comply with the European Statistics Code of Practice.","EuropeahnanStadbstiokaolr Sysqutaelimty and metadata reports  \n2021 re-edition  \nMA NUA L SAN D GU I D ELI N E S  \nEuropean 6tatistical 6ystem handbook for quality and metadata reportV  \n20􀀕1 re-edition  \nManuscript completed in February 2020.  \nCorrected in November 2021, 2021 re-edition  \nThis document should not be considered as representative of the European Commission’s official position. Luxembourg: Publications Office of the European Union, 2021  \n© European Union, 20􀀕1  \nReuse is authorised provided the source is acknowledged.  \nThe reuse policy of European Commission documents is regulated by Decision 2011/833/EU (OJ L 330, 14.12.2011, p. 39) .  \nFor any use or reproduction of photos or other material that is not under the copyright of the European Union, permission must be sought directly from the copyright holders. For more information, please consult: [https://](https://)[ ](https://)[ec.europa.eu/eurostat/about/policies/copyright](ec.europa.eu/eurostat/about/policies/copyright)  \n[Copyright for the cover photo:](Copyright for the cover photo:) © Shutterstock/cybrain  \nThe information and views set out in this publication are those of the author(s) and do not necessarily reflect the official opinion of the European Union. Neither the European Union institutions and bodies nor any person acting on their behalf may be held responsible for the use which may be made of the information contained therein.  \nCollection: Manuals and guidelines  \nTheme: General and regional statistics  \nPDF ISBN 978-92-76-44408-4 ISSN 2315-0815 doi: 10.2785/616374 KS-GQ-21-021-EN-N  \nForeword  \nFOREWORD  \nThe ESS Handbook for Quality and Metadata Reports (EHQMR) is recognised as an ESS standard. It is included in the Catalogue of ESS standards, the collection of non-legislative normative documents underpinning the ESS. It is therefore a visible component of the ESS standardisation process, the importance of which goes well beyond making the current body of standards accessible. Standardisation is important for modernising statistical production, in particular, to make statistical processes more efficient and robust, and to improve reporting on the quality of processes and output. Standards support the sharing of knowledge-based experiences and methodologies and, consequently, the sharing of tools, data, services and resources. The implementation of standard methods and tools also ultimately improves the comparability of statistical outputs, thus benefiting users of statistics.  \nAs a standard, this publication encourages sharing approaches to European statistics and the spread of best practices, in particular for quality and metadata reporting. It aims to promote harmonised quality reporting across statistical processes and Member States, and thus to facilitate cross-comparisons of processes and outputs. The Handbook applies to Eurostat, national statistical institutes and other national authorities in their roles as producers, compilers and disseminators of European statistics. It supports compliance with the European Statistics Code of Practice by providing recommendations on how to prepare comprehensive quality reports for the full range of statistical processes and their outputs.  \nQuality reporting is a well-established area with a long tradition in the European Statistical System (ESS) . The first ESS quality guidelines for standard quality reports were adopted in 2003, accompanied by the first ESS Handbook on Quality Reports (EHQR) , which was further extended in 2009 to cover all types of statistical processes and incorporate the standard ESS Quality and Performance Indicators. The ESS Standard for Quality Reports Structure (ESQRS) , a more detailed quality reporting structure, was launched in 2010.  \nAt the same time, ESS metadata principles and practices were being developed. 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