1. ISO/IEC 11179-1: Framework for a Metadata Registry By Daniel W. Gillman Bureau of Labor Statistics USA

2. Outline ISO/IEC 11179 Overview Terminology Theory Terms: ISO/IEC 11179 Fundamentals Value Domains Data Element Concepts Data Elements Metadata Registries Model Registration Conclusion

3. ISO/IEC 11179 Overview ISO/IEC 11179ISO/IEC 11179 –Old: Standardization and specification of data elements –Revised: Metadata Registries –Freely available http://www.jtc1.orghttp://www.jtc1.org 6 Parts6 Parts –Framework [An overview of the rest of the standard] –Classification –Metamodel and basic attributes –Definitions –Naming and identification –Registration

4. Terminology - Theory –General Concept – Concept with two or more objects, with common properties, that correspond to it –Individual Concept – Concept with one object that corresponds to it –Generic Relation – Relation between 2 concepts where the intension of one concept contains that of the other plus at least one additional delimiting characteristic –Generic Concept – Broader concept in a generic relation, with the smaller intension –Specific Concept – Narrower concept in a generic relation, with the larger intension

5. Value Domains Value Domains = set of permissible values –Permissible value = value - meaning pair E.g., Conceptual Domains = set of value meanings –Every Value Domain gets its semantics from a Conceptual Domain Represents “symbolic semantics”

6. Value Domains Two types of Conceptual/Value Domains: Enumerated Conceptual Domains –List of value meanings / permissible values Non-enumerated Conceptual Domains –Rule specifying precisely which meaning / permissible value is in Example Value Domain Conceptual Domain –, {Yes, No} –{r | 0 ≤ r ≤ 1}{probabilities}

7. CONCEPTUAL DOMAIN (1:N) VALUE DOMAIN ENUMERATED VALUE DOMAIN NON-ENUMERATED VALUE DOMAIN VALUE DOMAIN CONCEPTUAL DOMAIN VALUE MEANING PERMISSIBLE VALUES VALUE DOMAIN (1:N)(1:1)(N:1) Non-exclusive sub-types CONCEPTUAL DOMAIN ENUMERATED CONCEPTUAL DOMAIN NON-ENUMERATED CONCEPTUAL DOMAIN Non-exclusive sub-types

8. Data Element Concepts –Object Class - The set of objects for which we want to collect or record data –Examples: Employer, Household, All Person in the US –Property - Characteristic that describes or distinguishes objects –Examples: Industry, Income, Mean Income –Concept about data = Object Class + Property –Concept about data independent of value domain –Represents “contextual semantics”

9. Data Element Concepts Object Class –General concept -> microdata –Individual concept -> macrodata or metadata Specializing Object Class and Property –Use Value Meaning and Generic Relation Person (generic)Male person (specific) Income (generic)Income related to wages (specific) Where sex = {male, female} Income = {wages, dividends, interest, gambling, etc}

10. Data Elements Data Elements = Association of Data Element Concept and Value Domain Can be abstract or realized in a system Fundamental container for data Construction promotes reuse: –Many data elements may use the same data element concept –Many data elements may use the same value domain

11. Examples Data Element Concept –Sex of EmployeeIncome of Employee –Sex of Student Value Domains – All non-negative integers, dollars – Income categories –

12. Metadata Registries Metadata database –data –descriptions of objects Registration functionality –registration –metadata quality

13. Data ElementValue Domain 0..N 1..1 0..N 1..1 0..N 1..1 +Having +Specifying +Represented by +Representing +Expressed by +Expressing +Representing +Represented by Data Element ConceptConceptual Domain DEC Administration: 0..1 Object Class: 0..1 Property: 0..1 CD Administration: 0..1 Value Meanings: 0..N DE Administration: 1..1 Derivation: 0..1 VD Administration: 1..1 Permissible Values: 0..N Description: 0..1 Data Type: 1..1

14. Registration Establishing Rules for Registry Operations Providing descriptions (similar to Dublin Core) –names –definitions –identifiers Monitoring –Quality - Registration Status –Life Cycle - Administrative Status Establishing Chains of Responsibility –Submitters –Stewards

15. Conclusion Questions