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Future of MDR - ISO/IEC 11179 Metadata Registries (MDR) Larry Fitzwater, SC 32 WG 2 Convener Computer Scientist U.S. Environmental Protection Agency May 17, 2004 Presentasjon hentet fra leder av arbeidsgruppe 2 i ISO JTC1 SC32 som utvikler standarden

Future of MDR - ISO/IEC 11179 Metadata Registries (MDR) Larry Fitzwater, SC 32 WG 2 Convener Computer Scientist U.S. Environmental Protection Agency May

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Future of MDR - ISO/IEC 11179 Metadata Registries (MDR)

Larry Fitzwater,SC 32 WG 2 ConvenerComputer ScientistU.S. Environmental Protection Agency May 17, 2004

Presentasjon hentet fra leder av arbeidsgruppe 2 i ISO JTC1 SC32 som utvikler standarden

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MDR Family of Standards

ISO/IEC 11179

ISO/IEC 20943

ISO/IEC 20944

Designated by ISO as freely available without cost.

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ISO/IEC 11179, Parts 1 - 6

Part 1: FrameworkPart 2: Classification for Administered ItemsPart 3: Registry Metamodel and Basic Attributes Part 4: Formulation of Data DefinitionsPart 5: Naming and Identification PrinciplesPart 6: Registration

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Part 1: Framework

Facilitates acquisition and registration of data Expedites access to and use of data Simplifies data manipulation based on

characteristics described by metadata Enables development of a data representation

metamodel for CASE tools and repositories Facilitates electronic data interchange and data

sharing Includes definition of terms

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Part 2: Classification for Administered Items

Deriving and formulating abstract and application administered items

Ensuring appropriate attribute and attribute-value inheritance

Reducing ambiguous information Recognizing relationships among data

element concepts, data elements and other administered items

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Part 3: Registry Metamodel and Basic Attributes

Specifies a metamodel and attributes to describe data items (e.g., name, definition, permissible values, size, representation, datatype)

Outlines other attributes that will provide information for data management

Provides for consistency in recording metadata information

Encourages comparison of data across systems Facilitates information exchange

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Part 4: Formulation of Data Definitions

Define the meaning of data items Ensure consistency and quality Facilitate data shareability Contains both rules and guidelines

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Part 5: Naming and Identification Principles

Defines the identifying attributes Describes the relationship of the attributes to

each other Includes principles by which naming

conventions can be developed and documented Describes an example naming convention

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Part 6: Registration

Describes the procedure by which data items are registered and assigned an internationally unique identifier

Outlines steps in the assignment of Registration Statuses

Reviews the role of a Registration Authority

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Related Standards Efforts ISO/IEC 20943 - Information Technology –

Achieving Metadata Registry Content Consistency

Part 1: Data Elements, guidance and recommendations on the registration of data elements within a metadata registry.

Part 2: XML Structured Data, guidance and recommendations on the registration of XML features within a metadata registry.

Part 3: Value Domains, guidance and recommendations on the registration of value domains within a metadata registry.

Part 4: Overview

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Related Standards Efforts

ISO/IEC 20944 - Information Technology – Metadata Registry Interoperability and Bindings

Conformance: Common conformance wording Attribute Mapping: The mapping of 11179-3

attribute names to navigable identifiers Coding Bindings Application Programming Interface (API) Bindings Protocol Bindings

(continued)

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Past - Version 1 Data element management Basic attributes of data elements

ISO/IEC 11179 - Past

PART 1 PART 2

PART 3 PART 4

PART 5 PART 6

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Present - Version 2 Administered item management Registry metamodel

ISO/IEC 11179 - Present

PART 1

PART 2

PART 3

PART 4

PART 5 PART 6

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Future - Version 3 Knowledge management Extensions for metamodel

interoperability

ISO/IEC 11179 - Future

PART 3

PART 4

PART 5PART 5

PART 5PART 2

PART 6

PART 1

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Future Directions

Part 2: Classification Knowledge organization systems Concept management Semantic Web

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Future Directions

Part 4: Definitions Data quality Metadata quality

(continued)

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Future Directions

Part 5: Naming Context Designations

(continued)

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Future Directions

Part 1: Framework

Part 3: Metamodel

Part 6: Registration

(continued)

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Future Issues

Model interoperability Cultural adaptability XML registry interoperability Non-enumerated Conceptual

Domains

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Larry FitzwaterU.S. EPA

[email protected]

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