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resulted in
Edition 3 of ISO/IEC 11179. The first part published is ISO/IEC 11179-3:2013. The primary extension in Edition 3 is the Concept Region, expanding the use of concepts to more components within the standard, and supporting registration of a Concept system for use within the registry. The standard also supports the use of externally defined concept systems. Edition 3 versions of Parts 1, 5, and 6 were published in 2015. Part 2, Classifications, is subsumed by the Concept Region in Part 3, but is being updated to a Technical Report (TR) to provide guidance on the development of Classification Schemes. Part 4 describes principles for forming data definitions; an Edition 3 has not been proposed.
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Caragea, Cornelia; Honavar, Vasant; Boncz, Peter; Boncz, Peter; Larson, Per-Åke; Dietrich, Suzanne W.; Navarro, Gonzalo; Thuraisingham, Bhavani; Luo, Yan; Wolfson, Ouri; Beitzel, Steven M.; Jensen, Eric C.; Frieder, Ophir; Jensen, Christian S.; Tradišauskas, Nerius; Munson, Ethan V.; Wun, Alex; Goda,
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The data element concept "monthly net income of person" may thus have one data element called "monthly net income of individual by 100 dollar groupings" and one called "monthly net income of person range 0-1000 dollars", etc., depending on the heterogeneity of representation that exists within the
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When applied to data modelling, ISO/IEC 11179 combines a wide "concept" with an "object class" to form a more specific "data element concept". For example, the high-level concept "income" is combined with the object class "person" to form the data element concept "net income of person". Note that
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While commercial adoption is increasing, the spread of ISO/IEC 11179 has been more successful in the public sector. However, the reason for this is unclear. ISO membership is open to organizations through their national bodies. Countries with public sector repositories across various industries
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The different possible representations of a data element concept are then described with the use of one or more data elements. Differences in representation may be a result of the use of synonyms or different value domains in different data sets in a data holding. A value domain is the permitted
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led by the US, explored the use of ontologies as the basis for MDR content in order to provide richer semantic framework than could be achieved by lexical and syntax naming conventions alone. The XMDR experimented with a prototype using OWL, RDF and SPARQL to prove the concept. The initiative
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Part 1 explains the purpose of each part. Part 3 specifies the metamodel that defines the registry. Part 7 is released per
December 2019 and provides an extension to part 3 for registration of metadata about data sets. The other parts specify various aspects of the use of the registry.
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Although the ISO/IEC 11179 metadata registry is 6-part standard comprising several hundreds of pages, the primary model is presented in Part-3 and depicted in UML diagrams to facilitate understanding, supported by normative text. The eXtended
Metadata Registry initiative,
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The result of this is a catalogue of sorts, in which related data element concepts are grouped by a high-level concept and an object class, and data elements grouped by a shared data element concept. Strictly speaking, this is not a hierarchy, even if it resembles one.
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Kazuo; e. Fienberg, Stephen; Jin, Jiashun; Liu, Guimei; Craswell, Nick; Pedersen, Torben Bach; Pautasso, Cesare; Moro, Mirella M.; Manegold, Stefan; Manegold, Stefan; Carminati, Barbara; Blanton, Marina; et al. (2009). "Metadata
Registry, ISO/IEC 11179".
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The standard has two main purposes: definition and exchange. The core object is the data element concept, since it defines a concept and, ideally, describes data independent of its representation in any one system, table, column or organisation.
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range of values for a characteristic of an object class. An example of a value domain for "sex of person" is "M = Male, F = Female, U = Unknown". The letters M, F and U are then the permitted values of sex of person in a particular data set.
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ISO/IEC 11179 proper does not describe data as it is actually stored. It does not refer to the description of physical files, tables and columns. The ISO/IEC 11179 constructs are "semantic" as opposed to "physical" or "technical".
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data holdings covered by one ISO/IEC 11179 registry. Note that these two examples have different terms for the object class (person/individual) and different value sets (a 0-1000 dollar range as opposed to 100 dollar groupings).
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The first principle from semantic theory is the thesaurus type relation between wider and more narrow (or specific) concepts, e.g. the wide concept "income" has a relation to the more narrow concept "net income".
282:'s COTS Metadata Registry (MDR) product supports the ISO 11179 standard and continues to be sold and used for this purpose in both commercial and government applications (see Vendor Tools section below).
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The following metadata registries state that they follow ISO/IEC 11179 guidelines although there have been no formal third party tests developed to test for metadata registry compliance.
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The second principle from semantic theory is the relation between a concept and its representation, e.g., "buy" and "purchase" are the same concept although different terms are used.
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is foundational concept in an ISO/IEC 11179 metadata registry. The purpose of the registry is to maintain a semantically precise structure of data elements.
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129:. ISO/IEC 11179 claims that it is a standard for metadata-driven exchange of data in an heterogeneous environment, based on exact definitions of data.
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for an organization in a metadata registry. It documents the standardization and registration of metadata to make data understandable and shareable.
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Data elements that store "Codes" or enumerated values must also specify the semantics of each of the code values with precise definitions.
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The United
Nations and the US Government refer to and use the 11179 standards. 11179 is strongly recommended on the U.S. government's
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A basic principle of data modelling is the combination of an object class and a characteristic. For example, "Person - hair color".
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systems with structures designed to support data for analysis. A de facto standard model for data integration platforms is the
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The ISO/IEC 11179 model is a result of two principles of semantic theory, combined with basic principles of data modelling.
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ISO/IEC 11179-3:2013 Metadata registries (MDR) - Part 3: Registry metamodel and basic attributes
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ISO/IEC 11179-5:2015 Metadata registries (MDR) - Part 5: Naming and identification principles
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working to enable access to integrated information within and between enterprises based on
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technologies. Completed transactions are often transferred to separate data warehouse and
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ISO/IEC 11179-4:2004 Metadata registries (MDR) - Part 4: Formulation of data definitions
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Australian
Institute of Health and Welfare - Metadata Online Registry (METeOR)
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Minnesota
Department of Revenue Property Taxation (Real Estate Transactions)
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include
Australia, Canada, Germany, United States and the United Kingdom.
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ISO/IEC 11179-2:2005 Metadata registries (MDR) - Part 2: Classification
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US National Cancer
Institute - Cancer Data Standards Repository (caDSR)
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ISO/IEC 11179-6:2005 Metadata registries (MDR) - Part 6: Registration
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Organizations exchange data between computer systems precisely using
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external links, and converting useful links where appropriate into
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ISO/IEC 11179-1:2004 Metadata registries (MDR) - Part 1: Framework
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Metadata registry vendor tools that claim ISO/IEC 11179 compliance
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ISO/IEC Joint
Technical Committee on Metadata Standards Web Site
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US Environmental Protection Agency - Environmental Data Registry
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according to Naming and Identification Principles (11179-5) See
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Minnesota Department of Education Metadata Registry (K-12 Data)
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ISO/IEC 11179-1:2015 Framework (referred to as ISO/IEC 11179-1)
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ISO/IEC 11179-3:2013 Registry metamodel and basic attributes
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by the Formulation of Data Definitions rules (11179-4) See
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No independent agencies certify ISO/IEC 11179 compliance.
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Ohio State University - open Metadata Repository (openMDR)
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Each Data element in an ISO/IEC 11179 metadata registry:
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ISO/IEC 11179-5:2015 Naming and identification principles
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US Department of Justice - Global Justice XML Data Model
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ISO/IEC 11179-7:2019 Metamodel for data set registration
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ISO/IEC 11179-4:2004 Formulation of data definitions
443:Aristotle Metadata Registry (open source registry)
229:according to the Registration guidelines (11179-6)
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38:may not follow Knowledge's policies or guidelines
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133:Structure of an ISO/IEC 11179 metadata registry
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335:Examples of ISO/IEC 11179 metadata registries
151:"net income" is more specific than "income".
392:US Health Information Knowledgebase (USHIK)
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3880:International Electrotechnical Commission
264:in a Classification Scheme (11179-2) See
74:Learn how and when to remove this message
666:Extended Business XML Naming Conventions
321:Extensions to the ISO/IEC 11179 standard
422:Software AG's OneData Metadata Registry
175:Structure of the ISO/IEC 11179 standard
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179:The standard consists of seven parts:
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478:National Information Exchange Model
186:ISO/IEC 11179-2:2005 Classification
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93:(MDR) standard is an international
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14:
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198:ISO/IEC 11179-6:2015 Registration
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603:Universal Data Element Framework
546:Encyclopedia of Database Systems
493:Universal Data Element Framework
299:Universal Data Element Framework
23:
16:Standard for metadata registries
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579:"US Government's XML web site"
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210:Overview of 11179 Data Element
1:
555:10.1007/978-0-387-39940-9_907
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473:Global Justice XML Data Model
236:within the register (11179-5)
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344:Aristotle Metadata Registry
293:website. and is promoted by
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275:Adoption of 11179 standards
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123:Common Warehouse Metamodel
101:standard for representing
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305:and technology-neutral
297:as a foundation of the
255:data element definition
549:. pp. 1724–1727.
435:SALUS MDR Project - EU
301:. The Open Group is a
266:classification scheme
468:Data reference model
44:improve this article
624:11179 Document List
513:ISO/IEC JTC 1/SC 32
483:Representation term
234:uniquely identified
56:footnote references
3906:Metadata standards
707:by standard number
629:2016-04-06 at the
508:Metadata standards
431:2015-06-24 at the
377:2013-10-27 at the
3921:ISO/IEC standards
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564:978-0-387-35544-3
245:data element name
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581:. Archived from
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315:interoperability
109:Intended purpose
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127:master data
64:August 2020
3895:Categories
2410:16949 (TS)
2007:11941 (TR)
705:standards
589:2020-01-20
524:References
307:consortium
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249:should be
239:should be
227:registered
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627:Archived
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232:will be
103:metadata
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