See also
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The Extended Metadata Registry (XMDR) is a project proposing and testing a set of extensions to the ISO/IEC 11179 metadata registry specifications that deal with the development of improved standards and technology for storing and retrieving the semantics of data elements, terminologies, and concept structures in metadata registries.
ISO/IEC 11179 is an international standard for representing metadata for an organization in a metadata registry.
A metadata registry is a central location in an organization where metadata definitions are stored and maintained in a controlled method.
Semantics is the linguistic and philosophical study of meaning, in language, programming languages, formal logics, and semiotics. It is concerned with the relationship between signifiers—like words, phrases, signs, and symbols—and what they stand for in reality, their denotation.
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In metadata, the term data element is an atomic unit of data that has precise meaning or precise semantics. A data element has:
In computing and data management, data mapping is the process of creating data element mappings between two distinct data models. Data mapping is used as a first step for a wide variety of data integration tasks, including:
A representation term is a word, or a combination of words, that semantically represent the data type of a data element. A representation term is commonly referred to as a class word by those familiar with data dictionaries. ISO/IEC 11179-5:2005 defines representation term as a designation of an instance of a representation class As used in ISO/IEC 11179, the representation term is that part of a data element name that provides a semantic pointer to the underlying data type. A Representation class is a class of representations. This representation class provides a way to classify or group data elements.
A data element name is a name given to a data element in, for example, a data dictionary or metadata registry. In a formal data dictionary, there is often a requirement that no two data elements may have the same name, to allow the data element name to become an identifier, though some data dictionaries may provide ways to qualify the name in some way, for example by the application system or other context in which it occurs.
In metadata, a data element definition is a human readable phrase or sentence associated with a data element within a data dictionary that describes the meaning or semantics of a data element.
Semantic translation is the process of using semantic information to aid in the translation of data in one representation or data model to another representation or data model. Semantic translation takes advantage of semantics that associate meaning with individual data elements in one dictionary to create an equivalent meaning in a second system.
In a data warehouse, a measure is a property on which calculations can be made.
A representation term is a word, or a combination of words, used as part of a data element name. Representation class is sometimes used as a synonym for representation term.
In metadata an indicator is a Boolean value that may contain only the values true or false. The definition of an Indicator must include the meaning of a true value and should also include the meaning if the value is false.
In metadata, the term date is a representation term used to specify a calendar date in the Gregorian calendar. Many data representation standards such as XML, XML Schema, Web Ontology Language specify that ISO date format ISO 8601 should be used.
A classification scheme is the product of arranging things into kinds of things (classes) or into groups of classes.
The Oracle Enterprise Metadata Manager (EMM) is a product of the Oracle Corporation that provides an ISO/IEC 11179 metadata registry.
The Data Reference Model (DRM) is one of the five reference models of the Federal Enterprise Architecture.
Under some metadata standards, time is a representation term used to specify a time of day in the ISO 8601 time format.
METeOR, Australia’s repository for national metadata standards for health, housing and community services statistics and information. METeOR is a Metadata registry based on the 2003 version of the ISO/IEC 11179 Information technology - Metadata registries standard. METeOR was developed by the Australian Institute of Health and Welfare to store, manage and disseminate metadata in the Australian health, community services and housing assistance sectors.
A metadata standard is a requirement which is intended to establish a common understanding of the meaning or semantics of the data, to ensure correct and proper use and interpretation of the data by its owners and users. To achieve this common understanding, a number of characteristics, or attributes of the data have to be defined, also known as metadata.
The Aristotle Metadata Registry is an open-source Metadata Registry framework based on the ISO/IEC 11179 standard for Metadata Registries. It is influenced by the AIHW Meteor Metadata Registry and the Canadian Institute of Health Information Indicator Bank. Aristotle-MDR is designed to describe data holdings databases and associated structural metadata. The Aristotle Metadata Registry was publicly launched at the 2015 IASSIST Conference in Toronto. In 2016, the founders of the Aristotle Metadata Registry were hired by Data61 to continue development of the platform.