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BS ISO/IEC 19944-1:2020

BS ISO/IEC 19944-1:2020

$215.11

Cloud computing and distributed platforms. Data flow, data categories and data use – Fundamentals

Published By Publication Date Number of Pages
BSI 2020 76
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This document

  • extends the existing cloud computing vocabulary and reference architecture in ISO/IEC 17788 and ISO/IEC 17789 to describe an ecosystem involving devices using cloud services,

  • describes the various types of data flowing within the devices and cloud computing ecosystem,

  • describes the impact of connected devices on the data that flow within the cloud computing ecosystem,

  • describes flows of data between cloud services, cloud service customers and cloud service users,

  • provides foundational concepts, including a data taxonomy, and

  • identifies the categories of data that flow across the cloud service customer devices and cloud services.

This document is applicable primarily to cloud service providers, cloud service customers and cloud service users, but also to any person or organisation involved in legal, policy, technical or other implications of data flows between devices and cloud services.

PDF Catalog

PDF Pages PDF Title
2 undefined
8 Foreword
9 Introduction
11 1 Scope
2 Normative references
3 Terms and definitions
12 3.1 Terms related to data categories
3.2 Terms related to cloud services and devices ecosystem
13 3.3 Terms related to privacy
3.4 Terms related to organizational data
14 3.5 Terms related to artificial intelligence
16 3.6 General terms
4 Abbreviated terms
17 5 Structure of this document
5.1 Document organization
5.2 Overview and reference architecture
5.3 Data taxonomies, data categories and data use statement structure
6 Overview of devices and cloud services ecosystems
6.1 Background and context — Impact of devices and personalized cloud services
18 6.2 Ecosystem of devices and cloud services
19 6.3 Devices and multiple user sub-roles
6.3.1 General
20 6.3.2 Bring your own device
22 7 Extending the CCRA to the devices and cloud services ecosystem
7.1 Overview
7.2 Personal and organizational environments
7.3 Device impact on the CCRA: User view
7.3.1 Cloud service provider
23 7.3.2 Cloud service customer
24 7.4 Device impact on the CCRA: functional view
7.4.1 General
25 7.4.2 Functional components in the functional view
26 7.4.3 Functional view: data flows
28 8 Data taxonomy
8.1 Overview
29 8.2 Data categories
8.2.1 General
30 8.2.2 Customer content data
31 8.2.3 Derived data
33 8.2.4 Cloud service provider data
34 8.2.5 Account data
8.3 Data identification qualifiers
8.3.1 General
35 8.3.2 Identified data
8.3.3 Pseudonymized data
8.3.4 Unlinked pseudonymized data
8.3.5 Anonymized data
8.3.6 Aggregated data
36 8.4 Orthogonal facets of data
8.4.1 General
38 8.4.2 Perspective used in the definition of data facets
8.4.3 Common orthogonal data facets
44 8.4.4 Use of data facets to describe data taxonomy
9 Data processing and use categories
9.1 Overview
9.2 Data processing categories
9.2.1 General
45 9.2.2 Data partitioning
9.2.3 Data integration
46 9.2.4 Data fusion
9.2.5 Data improvement
9.2.6 Encryption
9.2.7 Replication
9.2.8 Data Deletion
47 9.2.9 Re-identification
9.3 Data use categories
9.3.1 General
48 9.3.2 Provide
9.3.3 Improve
49 9.3.4 Personalize
9.3.5 Offer upgrades or upsell
9.3.6 Market/advertize/promote
50 9.3.7 Share
51 9.3.8 Collect
9.3.9 Train (AI system)
9.4 Scopes: Boundaries of collection and use of data
9.4.1 Scope concepts
9.4.2 Scope types
53 9.4.3 Scope characteristics
9.4.4 Network connection between scopes
54 9.4.5 Control of source scope over result scope
10 Data use statements
10.1 Overview
55 10.2 Data use statement structure
10.2.1 Structure definition
57 10.2.2 Describing the scope of applications and cloud services that apply to use statements
10.2.3 Assumptions about when data are collected and used
58 10.2.4 Defining promotion targets
10.2.5 Data types
59 10.2.6 Data qualifiers for data types
10.2.7 Examples of statements about data flow in the devices and cloud services ecosystem
60 10.2.8 Exceptional use statements
63 10.2.9 Data sharing
64 10.3 Use of orthogonal data facets in data use statement
10.3.1 General
10.3.2 Use of elements in the data facets as attributes
65 10.3.3 Hierarchy of elements/attributes of data based on facets
10.3.4 Use of attributes to describe PII
66 10.3.5 Use of attributes to tag IP data
67 10.3.6 Use of attributes to tag IP data from shared pools, while respecting partner IP
69 11 Data lineage and data provenance
11.1 General
11.2 Tracing data lineage
70 12 Use of taxonomy and data use statement in other computing environments
13 Use of data taxonomy and use statements in Artificial Intelligence scenarios
73 Annex A (informative) Diagrams of data categories and data identification qualifiers
74 Bibliography

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BS ISO/IEC 19944-1:2020
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