Overview
ISO/IEC TR 19583-1:2019 is an international standard technical report developed by ISO and IEC that introduces the fundamental concepts of metadata within the context of information technology. The document offers a broad perspective on how metadata defines and describes data and elaborates its vital relationship to metamodels. This standard serves as a foundational reference for professionals in data management, IT systems development, library sciences, and anyone responsible for the governance, interoperability, or documentation of data resources.
Metadata, described as "data that describes other data," enables organizations to structure, discover, identify, and manage data efficiently. ISO/IEC TR 19583-1:2019 details the nature of metadata and provides a framework for understanding its various forms-including structural, descriptive, and administrative metadata-and the critical role they play in data management practices.
Key Topics
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Definition and Context of Metadata:
This standard clarifies what constitutes metadata and distinguishes its various forms depending on context and use, such as structural, descriptive, and administrative metadata.
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Structural Metadata:
Focuses on the organizational aspects of data-like database schemas, table definitions, data constraints, and relationships-which are crucial for data integrity, interoperability, and system development.
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Descriptive Metadata:
Supports efficient information discovery and identification, commonly used in libraries, archives, and web content management. Examples include the Dublin Core Metadata Element Set for documents and web pages.
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Administrative Metadata:
Deals with data management, such as tracking data creation, user access, and data lifecycle details, critical for governance and multimedia resource handling.
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Relationship to Metamodels:
Establishes the layered connection between data, metadata, and metamodels, explaining how conceptual, logical, and physical data models underpin metadata registries and repositories, enabling advanced data governance and harmonization.
Applications
ISO/IEC TR 19583-1:2019 has practical applications across a wide range of sectors and use cases:
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Enterprise Data Management:
Organizations use this standard to classify, register, and manage enterprise-wide data resources. Understanding metadata helps in building data dictionaries, repositories, and registries, which are crucial for maintaining data quality and consistency.
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Systems Development and Interoperability:
Metadata defined by this standard supports system analysts and developers in designing interoperable IT systems, aligning with frameworks like ISO/IEC 11179 and ISO/IEC 19763 for greater data integration and exchange.
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Library and Document Management:
The principles set forth guide librarians and archivists in cataloguing, discovering, and connecting content, using descriptive metadata standards for digital assets.
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Multimedia and Content Management:
Administrative and embedded metadata are used to manage and process multimedia files, supporting search, access, and usability of images, videos, and audio files.
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Information Governance and Compliance:
By implementing structured metadata, organizations can enhance their compliance, data auditability, and stewardship programs, ensuring data traceability and proper access controls.
Related Standards
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ISO/IEC 11179 series:
Focuses on metadata registries (MDR) and standardizes how metadata is structured, registered, and managed.
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ISO/IEC 19763 series:
Defines the metamodel framework for interoperability, critical for complex systems integration.
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ISO 15836 (Dublin Core):
A widely used descriptive metadata schema for diverse information resources.
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IEEE 1484.12.1:
Standard for Learning Object Metadata, relevant for educational and e-learning metadata management.
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ISO/IEC 10027:1990:
Introduces the Information Resource Dictionary System (IRDS) framework, further detailing data, metadata, and their interrelations.
By adhering to ISO/IEC TR 19583-1:2019, organizations create a reliable foundation for metadata usage, supporting effective data management, system interoperability, and long-term information resource value.