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I. Introduction
II. Resource Descriptions
1. Statistical Concepts
1.1 Statistical Classifications
1.3 Statistical Variables and Characteristics
Structure Diagram
1. Introduction
2. Descriptions of Standards
Statistical classifications - Alice
Statistical units - Alice
Statistical Subject-matter Domains (UNECE / SDMX) - Steve
1.5 SDMX - Metadata Common Vocabulary SDMX - Metadata Common Vocabulary - Sergio
1.6 SDMX - Cross-domain Concepts - Sergio
1.7 SDMX - Cross-domain Code-lists - Sergio
ESS Quality and Performance Indicators - Jana
ESS Handbook for Quality Reports- Jana
Statistical Data and Metadata eXchange (SDMX) (version 1.0, version 2.0)
2. Technical Standards
2.2 Data Documentation Initiative (DDI)
2.3 Metadata Registries (ISO/IEC 11179)
2.4 Statistical Data and Metadata eXchange (SDMX)
2.5 Common Warehouse Metamodel (ISO/IEC 19504)
Data Documentation Initiative (DDI) - Hamish
2.6 eXtensible Business Reporting Language (XBRL)- Jana
Dublin Core - Hamish
3. Models and Statistical Practices
3.1 Neuchâtel Model (Classifications, Variables) Max
3.2 CRISTAL Model MaxModel
3.3 Generic Statistical Business Process Model (GSBPM)
3.4 Corporate Metadata Repository (CMR)
3.5 Data Quality Assurance Framework (DQAF)/ Special Special Data Dissemination Standards (SDDS)
Generic Statistical Business Process Model (GSBPM) - Steve
Guidelines for Statistical Metadata on Internet (UNECE 2000)- Jana
3.6 ESS Standard for Quality Reports
3.7 Nordic Metamodel for PC-Axis
4. Methodological Guidelines and Recommendations
4.1 UNECE Guidelines for the Modeling Statistical Data and Metadata (UNECE 1995)-Jana
4.2 UNECE Guidelines for Statistical Metadata on the Internet
4.3 Recommendations on Formats Relevant to the Downloading of Data from the Internet
4.4 Best Practices in Designing Websites for Dissemination of Statistics- JanaRecommendations on Formats Relevant to the Downloading of Data from the Internet - Jana
4.5 Data and Metadata Reporting and Presentation Handbook
III. Relationships between Resources
This section shows the relationships between the different resources described in Section II.
IV. Other Resources
This section is for links to resources not described in Section II, but which still might be of interest to those developing Statistical Metadata Systems. These are typically resources that are primarily related to domains other than statistical metadata, resources that are only applied in one country, or resources which are now considered to be obsolete. References to home-pages of metadata-related projects are also included.
Please send any suggestions for additional links to support.stat@un.org.
- CARS (Classifications And Related Standards system developed by Statistics New Zealand)
- CLASET (Standard for exchange of statistical classifications)
- Metanet (Metadata Network of Excellence project 2000 - 2003)
- Terminology on Statistical Metadata (Conference of European Statisticians Statistical Standards and Studies No. 53, 2000)
Annex - Final Report of the Task Force on Part B
Approved by the METIS Steering Group, January 2011