The ISO/IEC 11179 standard is an international standard for the classification of data. It provides a framework for classifying data so that it can be shared and exchanged among different organizations. The standard is important for businesses because it helps them to manage their data more effectively.
ISO/IEC 11179-1:2015 Information technology — Metadata registries (MDR) — Part 1: Framework
ISO/IEC 11179-1:2015 provides the conceptual framework for metadata registries as a basis for their development, operation and maintenance. It defines metadata, metamodel and metadata registry concepts, and establishes a formal model consisting of five components to represent the content and structure of a metadata registry. This part of ISO/IEC 11179 also specifies the requirements that a conforming metadata registry shall satisfy.
ISO/IEC TR 11179-2:2019 Information technology — Metadata registries (MDR) — Part 2: Classification
The ISO/IEC TR 11179 series of standards provides guidance for the development and maintenance of metadata registries (MDRs).
The Standard-2:2019 provides guidance on the use of classification schemes in MDRs. It covers the principles of classification and the different types of classification schemes that can be used. It also includes guidance on how to select and use classification schemes in MDRs.
ISO/IEC 11179-3:2013 Information technology — Metadata registries (MDR) — Part 3: Registry metamodel and basic attributes
The ISO/IEC 11179-3:2013 standard defines the metamodel and basic attributes for metadata registries. It is part of a series of standards that cover metadata management, and it provides the foundation for creating interoperable metadata registries.
The metamodel defined in this standard is based on the Unified Modeling Language (UML). It can be used to represent any kind of metadata, including data about data (e.g., data quality or lineage information).
The standard also defines a set of basic attributes that are common to all metadata registries. These attributes can be used to describe the registry itself, as well as the entities that are registered in it.
ISO/IEC 11179-3:2013 is available from the ISO website.
ISO/IEC 11179-4:2004 Information technology — Metadata registries (MDR) — Part 4: Formulation of data definitions
The ISO/IEC 11179 series of standards provides guidelines for the establishment and maintenance of metadata registries.
The Standard-4:2004 provides guidelines for the formulation of data definitions. It is applicable to any kind of data, including but not limited to databases, information models, and software source code.
Data definitions are an important part of metadata registries. They provide a way to unambiguously identify and describe the data that is being managed by the registry.
Data definitions can be simple or complex, depending on the needs of the registry. In general, they should be as specific as possible in order to avoid ambiguity.
When formulating data definitions, it is important to keep in mind the following principles:
- Data definitions should be clear and concise.
- Data definitions should be free of errors.
- Data definitions should be self-contained (i.e., they should not depend on external resources).
- Also, Data definitions should be consistent with other parts of the registry.
ISO/IEC 11179-5:2015 Information technology — Metadata registries (MDR) — Part 5: Naming principles
The ISO/IEC 11179 series of standards was developed to provide a framework for the description of metadata. The series is divided into several parts, with each part covering a different aspect of metadata description.
The Standard-5:2015 provides guidance on the naming of items within a metadata registry. It covers both the structure and content of names, as well as the rules for creating new names.
The standard includes a number of recommendations on how to choose names that are both meaningful and easy to remember. It also includes a set of rules for creating new names, which can be used when existing names are not suitable.
Overall, it provides a comprehensive guide to naming items within a metadata registry. It is an essential resource for anyone responsible for managing or developing a metadata registry.
ISO/IEC 11179-6:2015 Information technology — Metadata registries (MDR) — Part 6: Registration
The standard series provide guidelines for the development and management of metadata registries. The purpose of ISO/IEC 11179-6:2015 is to specify the requirements for registration in a metadata registry.
This standard defines the process of registration, which includes the submission of metadata to a metadata registry, the review and approval of that metadata by the registry, and the publication of the approved metadata in the registry.
The standard also defines the roles and responsibilities of those involved in the registration process, including submitters, reviewers, and approvers.
The Standard-6:2015 is applicable to any type of metadata that can be registered in a metadata registry.
ISO/IEC 11179-7:2019 Information technology — Metadata registries (MDR) — Part 7: Metamodel for data set registration
The ISO/IEC 11179 series of standards provides guidance for the registration of items of information within a metadata registry.
Therefore, The purpose of this standard is to define a metamodel that can be used to support the registration of data sets within a metadata registry.
The metamodel defined in this standard can be used to support the description of data sets that are:
- created as a result of data processing activities;
- exchanged between different organizations;
- published by an organization; or
- shared within an organization.
What are the benefits of this standard?
ISO/IEC 11179 is an international standard that provides guidelines for the management of metadata. Metadata is data that describes other data. It can be used to describe the content, structure, and organization of data.
It can help organizations to:
- Improve the quality of their data
- Reduce the cost of managing data
- Make better use of their data assets
ISO/IEC 11179 can also help organizations to share data more effectively between different departments and across different countries.
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