15. ISO25000
Systems and software Quality Requirements and Evaluation (SQuaRE)
正確性(Accuracy)
完全性(Completeness)
一貫性(Consistency)
信憑性(Credibility)
最新性(Currentness)
アクセシビリティ
(Accessibility)
標準適合性(Compliance)
機密性(Confidentiality)
効率性(Efficiency)
精度(Precision)
追跡可能性(Traceability)
理解性(Understandability)
可用性(Availability)
移植性(Portability)
回復性(Recoverability)
2501X
Quality Model
2500X
Quality Management
2502X
Quality Measurement
2504X
Quality
Evaluation
2503X
Quality
Requirement
Data design
Data
collection
Data
integration
External data
acquisition
Data
processing
Presentation
Other use
Data store
Delete
ISO/IEC 25024:2015 Systems and software engineering
-- Systems and software Quality Requirements and Evaluation (SQuaRE)
-- Measurement of data quality
ISO/IEC 25012:2008 Software engineering
-- Software product Quality Requirements
and Evaluation (SQuaRE)
-- Data quality model
16. ISO8000
Data quality
Part 1: Overview Part 2: Vocabulary
Part 8: Information and data quality: Concepts and measuring
Part 120: Master data:
Exchange of characteristic data:
Provenance
Part 130: Master data:
Exchange of characteristic data:
Accuracy
Part 61: Data quality management: Process reference model
Part 110: Master data: Exchange of
characteristic data: Syntax, semantic encoding,
and conformance to data specification
Part 115: Master data: Exchange of quality
identifiers: Syntactic, semantic and resolution
requirements
Part 100: Master data: Exchange of characteristic data: Overview
Part 150: Master data: Quality management framework
Part 311: Guidance for the application of product data quality for shape (PDQ-S)
Part 140: Master data:
Exchange of characteristic data:
Completeness
Data quality management
Part 60: Data quality management: Overview
Master Data
General considerations
Engineering information
17. Data-related support
Resource provision
Implementation
Data quality planning
Requirements management
Data quality strategy
management
Data quality policy/Standard/
Procedures management
Data quality implementation
planning
Data quality
improvement
Root cause analysis & solution
development
Data cleansing
Process Improvement for data
nonconformity prevention
Data quality control
Provision of data specification
& work instruction
Data processing
Data quality monitoring &
control
Data quality assurance
Review of data quality issue
Provision of measurement
criteria
Measurement of data quality &
process performance
Evaluation of measurement
results
Data architecture management
Data transfer management
Data operation management
Data security management
Data quality organization
management
Human resource management
Detailed structure of data quality management (ISO8000-61)
ISO8000
Data quality
19. ECにおける
行政サービスのインタオペラビリティの成熟度
• 成熟モデル等、導入を促進する仕組み(iMAPS:Interoperability Maturity Assessment of a Public Service)
• 行政サービス提供者のインタオペラビリティの成熟度を確認し成長を促す
D.1 Cost-Benefit Analysis
D.2 Service Provisioning
D.3 Procurement criteria
D.4 Central point of control
D.5 Level of automation of the choreography
D.6 Status information
D.7 Business process definitions and rules
D.8 Business Process Management standards
D.9 Architectural Framework
D.10 Architectural flexibility
D.11 Specification process
C.1 Landscaping Service Consumption
C.2 Manual or digitally consumption of services
C.3 Reusing or producing of services
C.4 Processing mode
C.5 Push-pull mechanisms
C.6 Common protocol usage
C.7 Reuse of network infrastructure
C.8 Semantic alignment
C.9 Exception handling
C.10 Certification
C.11 Specification process
B.1 Delivery channels
B.2 Device, platform and/or browser dependency
B.3 Form pre-filling
B.4 Multilingualism
B.5 Cross-referencing
B.6 Service CatalogueA.1 Contact details
A.2 Public service description
A.3 Service owner
A.4 End user group to which the service is delivered
A.5 Administrative level
Service
Service
Service
B
C
B
C
B
D
C
Public
service
Internal
domain
External
domain
Service Delivery
Service Consumption
Service Management
D