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APPENDIX C: Some International Frameworks and Guidance Relevant for Federal Statistics
Pages 189-204

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From page 189...
... UNITED NATIONS FUNDAMENTAL PRINCIPLES OF OFFICIAL STATISTICS The United Nations Statistics Division website notes that the need for a set of principles governing official statistics became apparent at the end of the 1980s when countries in Central Europe began to change from centrally planned economies to market-oriented democracies. It was essential to ensure that national statistical systems in such countries would be able to produce appropriate and reliable data that adhered to certain professional and scientific standards.
From page 190...
... Principle 2. To retain trust in official statistics, the sta tistical agencies need to decide according to strictly professional considerations, including scientific principles and professional ethics, on the methods and procedures for the collection, processing, storage and presentation of statistical data.
From page 191...
... and recommend good practices in order to ensure independence. THE COMMON QUALITY FRAMEWORK OF THE EUROPEAN STATISTICAL SYSTEM The common quality framework of the European Statistical System is composed of the European Statistics Code of Practice, the Quality Assurance Framework of the European Statistical System, and general quality management principles (such as continuous interaction with users, commitment of leadership, partnership, staff satisfaction, continuous improvement, integration and harmonization)
From page 192...
... Institutional Environment Institutional and organizational factors have a signifi cant influence on the effectiveness and credibility of a statistical authority developing, producing, and dissemi nating European statistics. The relevant principles are professional independence, coordination and coopera tion, mandate for data collection, adequacy of resources, quality commitment, statistical confidentiality, impartial ity, and objectivity.
From page 193...
... Statistical authorities develop, produce, and disseminate European Statistics respecting scientific independence and in an objective, professional, and transparent manner in which all users are treated equitably. Statistical Processes European and other international standards, guidelines, and good practices are fully observed in the statistical processes used by the statistical authorities to develop, produce, and disseminate European Statistics, while constantly striving for innovation.
From page 194...
... Principle 14: Coherence and Comparability. European Statistics are consistent internally, over time and com parable between regions and countries; it is possible to combine and make joint use of related data from different data sources.
From page 195...
... A set of broad principles on which OECD statistical activities are to be conducted and quality guidelines covering all phases of the statistical production process.81 Quality Quality is defined as "fitness for use" in terms of user needs. This definition is broader than has been customarily used in the past when quality was equated with accuracy.
From page 196...
... Accessibility The accessibility of data products reflects how readily the data can be located and accessed from within OECD data holdings. The range of different users leads to such considerations as multiple dissemination formats and selective presentation of metadata.
From page 197...
... Coherence The coherence of data products reflects the degree to which they are logically connected and mutually con sistent. Coherence implies that the same term should not be used without explanation for different concepts or data items; that different terms should not be used with out explanation for the same concept or data item; and that variations in methodology that might affect data val ues should not be made without explanation.
From page 198...
... OECD statistics are produced according to strictly professional considerations, including scientific principles and professional ethics with regard to methods and procedures used for the collection, processing, storage and dissemination of statistical data.
From page 199...
... • Value is about producing statistics that support society's needs for information. Each pillar contains a number of principles and detailed practices that apply when producing and releasing official statistics.
From page 200...
... Quality requires skilled professional judgement about collecting, preparing, analyzing and pub lishing statistics and data in ways that meet the needs of people who want to use the statistics. Q1: Suitable data sources: Statistics should be based on the most appropriate data to meet intended uses.
From page 201...
... GENERIC STATISTICAL BUSINESS PROCESS MODEL The Generic Statistical Business Process Model (GSBPM) of the United Nations Economic Commission for Europe was first developed in 2008 and most recently updated in 2019 (version 5.1)
From page 202...
... It provides a standard framework and harmonized terminology to help statisti cal organizations modernize their statistical production processes, as well as to share methods and components. The GSBPM can also be used for integrating data and metadata standards, as a template for process documenta tion, for harmonizing statistical computing infrastructures, and to provide a framework for process quality assessment and improvement.85 84See UNECE High-Level Group for the Modernisation of Official Statistics (2013)
From page 203...
... , on behalf of the international statistical community. Version 5.1 January 2019 Available: https://statswiki.


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