BSI 22/30426856 DC 2022

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BS EN ISO/IEC 11179-33. Information technology. Metadata registries (MDR) – Part 33. Metamodel for data set registration

Published By	Publication Date	Number of Pages
BSI	2022	43

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Categories: 35.040.50 - Automatic identification and data capture techniques, BSI

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PDF Pages	PDF Title
1	30426856-NC.pdf
3	ISO_IEC DIS 11179-33 ed.1 – id.81725 Enquiry PDF (en) (1).pdf
6	Foreword
7	Introduction
9	1 Scope 2 Normative references 3 Terms and definitions
10	3.1 concept 3.2 context 3.3 access level 3.4 accrual periodicity 3.5 data set
11	3.6 data set collection 3.7 data set distribution 3.8 data set specification 3.9 information model 3.10 jurisdictional coverage 3.11 provenance
12	3.12 rights 3.13 spatial coverage 3.14 temporal coverage 4 Abbreviated terms 5 Conformance 5.1 Overview of conformance
13	5.2 Degree of conformance 5.2.1 General 5.2.2 Strictly conforming implementations 5.2.3 Conforming implementations 5.3 Conformance by feature
14	5.4 Registry conformance 5.4.1 Standard registry profiles 5.4.2 Conformance labels 5.5 Implementation conformance statement (ICS) 5.6 Obligation
15	6 Relationship to ISO/IEC 11179-3:2022 6.1 Metamodel for a metadata registry 6.2 Specification of the metamodel 6.3 Use of UML Class diagrams and textual description
16	6.4 Package dependencies
17	7 Data_Set package 7.1 Overview of the Data_Set package 7.2 Data_Set metamodel region 7.2.1 Overview of the Data_Set metamodel region
18	7.2.2 Classes in the Data_Set metamodel region 7.2.2.1 Concept class 7.2.2.1.1 Direct superclass 7.2.2.1.2 Description of Concept 7.2.2.1.3 Associations of Concept 7.2.2.1.4 Attributes of Concept 7.2.2.2 Context class 7.2.2.2.1 Direct superclass 7.2.2.2.2 Description of Context 7.2.2.2.3 Associations of Context
19	7.2.2.2.4 Attributes of Context 7.2.2.3 Data_Set class 7.2.2.3.1 Direct superclass 7.2.2.3.2 Description of Data_Set 7.2.2.3.3 Associations of Data_Set 7.2.2.3.4 Attributes of Data_Set
21	7.2.2.3.5 Constraints on Data_Set 7.2.2.4 Data_Set_Collection class 7.2.2.4.1 Direct superclass
22	7.2.2.4.2 Description of Data_Set_Collection 7.2.2.4.3 Associations of Data_Set_Collection 7.2.2.4.4 Attributes of Data_Set_Collection
23	7.2.2.4.5 Constraint on Data_Set_Collection 7.2.2.5 Data_Set_Distribution class 7.2.2.5.1 Direct superclass 7.2.2.5.2 Description of Data_Set_Distribution 7.2.2.5.3 Associations of Data_Set_Distribution 7.2.2.5.4 Attributes of Data_Set_Distribution
24	7.2.2.5.5 Constraint on Data_Set_Distribution
25	7.2.2.6 Data_Set_Provenance class 7.2.2.6.1 Direct superclass 7.2.2.6.2 Description of Data_Set_Provenance 7.2.2.6.3 Associations of Data_Set_Provenance 7.2.2.6.4 Attributes of Data_Set_Provenance
26	7.2.2.6.5 Constraint on Data_Set_Provenance 7.2.2.7 Data_Set_Assessment class 7.2.2.7.1 Direct superclass 7.2.2.7.2 Description of Data_Set_Assessment 7.2.2.7.3 Associations of Data_Set_Assessment
27	7.2.2.7.4 Attributes of Data_Set_Assessment
28	7.2.2.7.5 Constraints on Data_Set_Assessment 7.2.2.8 Data_Set_Specification class 7.2.2.8.1 Direct superclass 7.2.2.8.2 Description of Data_Set_Specification 7.2.2.8.3 Associations of Data_Set_Specification 7.2.2.8.4 Attributes of Data_Set_Specification
29	7.2.2.8.5 Constraint on Data_Set_Specification 7.2.2.8.6 Additions to Data_Set_Specification 7.2.3 Associations in the Data_Set metamodel region 7.2.3.1 data_set_concept_annotation association 7.2.3.2 data_set_collection_concept_annotation association 7.2.3.3 data_set_context association 7.2.3.4 data_set_collection_context association
30	7.2.3.5 data_set_assessment_context association 7.2.3.6 data_set_data_set_collection association 7.2.3.7 data_set_data_set_distribution association 7.2.3.8 data_set_data_set_specification association 7.2.3.9 data_set_hierarchy association 7.2.3.10 data_set_provenance association 7.2.3.11 data_set_provenance_derivation association
31	7.2.3.12 data_set_assessment association 7.2.3.13 data_set_supersession association 7.2.3.14 data_set_collection_composition association 7.2.3.15 data_set_collection_data_set_distribution association 7.2.3.16 data_set_collection_provenance association 7.2.3.17 data_set_collection_assessment association
32	7.2.4 Datatypes in the Data_Set metamodel region 7.2.4.1 Data_Set_Assessment_Type enumerated class
33	Annex A (normative) Consolidated Class Hierarchy
34	Annex B (informative) Examples of data set registration B.1 Overview B.2 The ‘Air Quality’ data set example B.2.1 Overview of the ‘Air Quality’ example
37	B.2.2 Registration of the ‘Air Quality’ example data set B.3 The ‘World War II Weather Data’ data set example B.3.1 Overview of the ‘World War II Weather Data’ example
39	B.3.2 Registration of the ‘World War II Weather Data’ example data set
41	Annex C (informative) A complete view of the concept of “provenance”
43	Bibliography

Additional information

Status	Definitive
Pages	43
Publication Date	2022-05-10
Standard Number	22/30426856 DC
Title	BS EN ISO/IEC 11179-33. Information technology. Metadata registries (MDR) – Part 33. Metamodel for data set registration
Descriptors	Information technology, Metadata, Data, Data processing, Conformity
Publisher	BSI
Committee	IST/40
ICS Codes	35.040.50 - Automatic identification and data capture techniques

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