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Appendix 1: Overview models and standards for statistical metadata
id short_name full_name short_description type version intro valid maintenance url_model_1 urtl_model_2
m01 ISO 11179 ISO/IEC 11179-3 ISO/IEC 11179 is a well established international standard for representing metadata standard 3 ? yes ? http://metadata-stds.org11179/#A3
in a metadata registry. It has two main purposes: definition and exchange of
concepts. Thus it describes the semantics and concepts, but does not handle
physical representation of the data. It aims to be a standard for metadata-driven
exchange of data in heterogeneous environments, based on exact definitions of
data. Several NSIs have based their current metadata systems on this standard.
Most of those are developed in-house, but at least one commercial product exists
that claims to support the standard (OneMeta MDR).
In particular Part 3 : Registry metamodel and basic attributes
Primary purpose of part 3 is to specify the structure of a metadata registry and also
to speciffy basic attributes wich are required to describe metadata items, which may
be used in situations where a complete metadata registry is not appropriate
m02 Neuchâtel Model Neuchâtel Terminology In 2004 the Neuchâtel Group issued version 2.1 of the Neuchâtel Terminology Model model 2.1 2004 no Neuchâtel Group (does no exist anymore) http://www1.unece.org/stat/platform/download/attachments/14319930/Part+I+Neuchatel_version+2_1.pdf?version=1http://www1.unece.org/stat/platform/download/attachments/14319930/Neuchatel+Model+V1.pdf?version=1
Model Calssification Classification data object types and their attributes. Main purpose of the work was to
arrive a common language and common perception of the structure of classifications
and the link between them. In 2006 the model was extended with variablesand
related concepts.The discusion includes concepts like object types, statistical unit
types, statistical characteristics, value domains, population etc. The two models
together claim to provide a more comprehensive description of the structure of
statistical information embodied in data items. Intended use: For setting up metadata
models and frameworks inside statistical offices several models are used as a source
or starting point. The Neuchâtel model is one of those models.
m03 CMR Corporate Metadata This is a statistical metadata model that integrates a develpomental version of edition model ? 1998 no not anaymore http://www.unece.org/stats/documents/1998/02/metis/11.e.pdf
Repository Model 2 of ISO/IEC 11179 and a business data model derivable from the Generic Statistical
Business Process Model. It includes the constructs necessary for a registry.
Forms of this model are in use at the US Census Bureau at Statistics Canada.
Intended use: The model is a framework for managing all the statistical metadata of
a statistical office. It accounts for survey, census, administrative, and derived data;
and it accounts for the entire survey life-cycle. Relationships to other standards:
ISO/IEC 11179 and Generic Statistical Business Process Model See also Gillman, D.
W. "Corporate Metadata Repository (CMR) Model", Invited Paper, University of
Edinburgh -Proceedings of First MetaNet Conference, Voorburg, Netherlands, 2001.
m04 Nordic Metamodel Nordic Metamodel The Nordic Metamodel was developed by Statistics Sweden, and has become model 2.2 June 2008 yes Statistics Sweden & PC Axis group http://www.scb.se/Pages/List____314010.aspx
increasingly linked with their popular "PC-Axis"suite of dissemenation software. It
provides a basis for organizing and managing metadata for data cubes in a relational
database envirement. Intendet Use: The Nordic Metamodel is used to describe the
metadata system behind several implementations of PC-Axis in national eand
international statistical organizations, particulary those using MS SQL Server as
platform.
m05 CWM Common Warehouse Specification for the metadata to achieve data exchange between tools. Intended model ? March 2004 yes Object Management Group (OGM) http://www.omg.org http://www.omg.org/technology/documents/formal/cwm_mip.htm
Metamodel (ISO/IEC use: As a means for recording the metadata to achieve data exchange between
19504) tools. CWM is designed by OMG to work in conjunction with several others of their
standards: Meta-Object Facility (MOF), Unified Modeling Language (UML), XML
Metadata Interchange (XMI), and Ontology Definition Metamodel (ODM)
It also is well designed to fit into the processing cascade for a survey in a statistical
office.
m06 SDMX Statistical Data and Statistical Data and Metadata eXchange, SDMX, was initiated by seven international standard 2.1 ? yes SDMX is maintained by a group of http://sdmx.org/
Metadata eXchange organisations to foster standards for the exchange of statistical information. SDMX seven sponsors known as the SDMX
(ISO TS 17369) has its focus on macro data, even though the model supports micro data. It is an consortium: the Bank for International
adopted standard for delivering and sharing data between NSIs and Eurostat. Settlements (BIS), the European
Sharing the results from the latest Population Census is perhaps the most advanced Central Bank (ECB), Eurostat, the
example, so far. Several software products commonly used by NSIs support SDMX. International Monetary Fund (IMF), the
The Statistical Data and Metadata Exchange (SDMX) initiative sets technical Organization for Economic Cooperation
standards and content-oriented guidelines to facilitate the exchange of statistical and Development (OECD), the United
data and metadata.There are several sections to the SDMX Technical Nations and the World Bank. The
Specification:1. The SDMX Information Model - the information model on which SDMX Secretariat (in which all
syntax-specific implementations described in the other sections are based.2. SDMX- sponsoring organisations are
EDI - the EDIFACT format for exchange of SDMX-structured data and metadata.3. represented) is in charge of carrying
SDMX-ML - the XML format for the exchange of SDMX-structured data and the work forward.
metadata.4. The SDMX Registry Specification provides for a central registry of
information about available data and reference metadata, and for a repository
containing structural metadata and provisioning information.5. The SDMX
Implementor's Guide - this is a guide to help those who wish to use the SDMX
specifications. It includes reference material for the use of the SDMX Information
Model;6. Web Services Guidelines - this is a guide for those who wish to implement
SDMX using web-services technologies The aim of SDMX is to create and maintain
technical and statistical standards and guidelines to be used and implemented by
organisations dealing with statistical data and metadata. Together with the use of
modern IT technologies, these standards and guidelines should improve efficiency by
preventing duplication of effort.The SDMX standards support a data-sharing process
based on the use of central registry services. Registry services provide visibility into
the data and metadata existing within the community, and support the access and
use of this data and metadata by providing a set of triggers for automated
processing. The data or metadata itself is not stored in a central registry - these
services merely provide a set of metadata about the data (and additional metadata)
in a known location, so that users or applications can easily locate and obtain
whatever data and metadata is registered. The use of standards for all data,
metadata, and the registry services themselves permits a high level of automation
within a data-sharing community
Appendix 1: Overview models and standards for statistical metadata
id short_name full_name short_description type version intro valid maintenance url_model_1 urtl_model_2
m07 DDI Data Documentation The Data Documentation Initiative (DDI) has its roots in the data archive standard 3 ? yes DDI Alliance
Initiative environment, but with its latest development, DDI 3 or DDI Lifecycle, it has become
an increasingly interesting option for NSIs. DDI is an effort to create an international
standard for describing data from the social, behavioral, and economic sciences. It is
based on XML. DDI is supported by a non-profit international organisation, the DDI
Alliance. Several tools that support DDI are available, both on the commercial market
and as free software. The Data Documentation Initiative is a standard for technical
documentation describing social science data and is based on XML. The current
version supports description of the full life cycle of a dataset or data collection (see
also Generic Statistical Business Process Model).Intended use: DDI is commonly
used as a standard for documenting and describing data for archiving and reuse. It is
also suitable for:
•Documenting on-going research projects
•Documenting secondary uses of data
•Creating concept/question/variable libraries
•Generating multiple delivery formats for data dissemination or discovery
m08 ESMS Euro SDMX Metadata ESMS Metadata files are used for describing the statistics released by Eurostat. It model 3 ? yes Eurostat?
Structure aims at documenthing methodologies, quality and the statistical production in
general. It uses 21 highlevel concepts with a limited breakdown of sub items, strictly
derived from the list of cross domain concepts in the SDMX Content Oriented
Guidelines (2009)
m09 MSD ? ? ? ? ? ? ?
m10 SDMX-IM SDMX Information The SDMX-IM is used to describe the basic data and metadata structures used in all model ? ? yes ?
Model of the SDMX data formats. There is a primary division between time series and
cross-sectional data and the metadata which describes the structure of that data.
The Information Model concerns itself with statistical data and its structural
metadata, and that is what is described here. Both structural metadata and data
have some additional metadata in common, related to their management and
administration
m11 ESQRS ? ESQRS is part of ESS and does focus on the producers side of statistics. Its main ? ? ? yes Eustat/EU? http://www.unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.40/2010/wp.14.e.ppt
goal is to monitor the quality of the statistics produced.
m12 EPMS Euro Process Metadata S? ? ? ? ? Eustat/EU?
m13 GISM Generic Statistical GISM is linked to the GSBPM and its main purpose is to provide a common model ? ? yes Australian Bureau of Statics (ABS)
Information Model reference model for statistical information. It describes data and metadata flows
within statistical business process
m14 MMX MMX Framework MMX is a so called storrage for metadata model which is being used at Statistics model ? ? yes Statistics Estonia & commercial party http://www.mmxframework.org/post/2008/09/29/MMX-Knowledge-Model.aspx
Estonia. MMX metadata framework is a lightweight implementation of OMG
Metadata Object Facility built on relational database technology. MMX framework is
based on three general concepts:
Metamodel, Acces layer and Generic Transformation
The MMX Metamodel provides a storage mechanism for various knowledge models.
The data model underlying the metadata framework is more abstract in nature than
metadata models in general. The model consists of only a few abstract entities, most
remarkably, OBJECT, RELATION, EXPRESSION and PROPERTY. The rest of the
entities and relationships are 'hidden' behind these root objects and can be derived
(inherited) by typifying those. Most of the structure of the data model normally
exposed in ER diagram is therefore actually stored as data (meta-metadata). MMX
Metamodel can be seen as a general-purpose storage mechanism for different
knowledge models, eg. Frame system, Description Logic (RDF). Several metadata
models are predefined in MMX Metamodel, eg:
- ontology (based on Frame System, Declaration Logic etc.);
- classification (based on ISO/IEC: Metadata Registries/Neuchâtel Terminology
Model);
m15 GSBPM Generic Statistical GSBPM provides a framwork tot describe the statistical production process in term of standard ? ? ? ? ?
Business Process standard components. One of the original aims of the model is to standardise the
Model process terminology, thereby making is easier to compare and benchmark processes
witin and between organisations, primarly NSIs and international organisations
m16 MCV Metadata Common MCV is not a standard itselfs, but provides definitions of common metadata model ? ? ? SDMX consortium ?
Vocabulary concepts, in particular in the domain of statistical metadata. It is part of the SDMX
Conent-oriented Guidelines
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