Difference between revisions of "Capability/Reference Data and Metadata Management"

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Capability/Reference Data and Metadata Management
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  | description = Data quality is, beside other factors, compliance of given data to laws and standards, i.e. data requirements. Such requirements come from national regulation and change over time. Clients have to track such requirements country by country and continuously. For many (and a growing number of) countries, officially registered company information is provided as Open Data. Such reference data does not follow any standardized data model or data provision. Identification, integration, and continuous updates cause effort for each data source. The Data Sharing Community collaborates on identifying data requirements globally. The same for identifying reference data sources, both Open Data and commercial. CDQ collects all such information, machine-readable in a semantic graph, as well-structured metadata. CDQ derives [[:Category:Data quality rule|data quality rules]] from this semantic metadata, automatically, for [[Capability/Data Quality Measurement|measuring data quality]]. And CDQ automatically integrates all reference data into a [[Capability/Data Pool Access|Data Pool]]. All metadata and reference data is accessible also for Clients, both documented for humans and machine-readable, in this wiki.
 
  | description = Data quality is, beside other factors, compliance of given data to laws and standards, i.e. data requirements. Such requirements come from national regulation and change over time. Clients have to track such requirements country by country and continuously. For many (and a growing number of) countries, officially registered company information is provided as Open Data. Such reference data does not follow any standardized data model or data provision. Identification, integration, and continuous updates cause effort for each data source. The Data Sharing Community collaborates on identifying data requirements globally. The same for identifying reference data sources, both Open Data and commercial. CDQ collects all such information, machine-readable in a semantic graph, as well-structured metadata. CDQ derives [[:Category:Data quality rule|data quality rules]] from this semantic metadata, automatically, for [[Capability/Data Quality Measurement|measuring data quality]]. And CDQ automatically integrates all reference data into a [[Capability/Data Pool Access|Data Pool]]. All metadata and reference data is accessible also for Clients, both documented for humans and machine-readable, in this wiki.
 
  | category = Capability category/Transparency
 
  | category = Capability category/Transparency
  | sort rank = 80
+
  | sort rank = 910
  | product = Product/Data Quality Services
+
  | product = Product/Service Management & Integration
 
}}
 
}}
 
= Facts and Figures =
 
= Facts and Figures =

Revision as of 10:16, 12 July 2021

Name Name of a concept, e.g. a data model concept. In contrast to terms, the name does not depend on a given context, e.g. a country-specific language. Reference Data and Metadata Management (category: Transparency, sort rank: 910, product: Product/Service Management & Integration)
Short description Informal and short human-readable definition of a concept. Continuous updates of global data requirements due to legal changes or data standards.
Description Informal and comprehensive human-readable definition of a concept. Data quality is, beside other factors, compliance of given data to laws and standards, i.e. data requirements. Such requirements come from national regulation and change over time. Clients have to track such requirements country by country and continuously. For many (and a growing number of) countries, officially registered company information is provided as Open Data. Such reference data does not follow any standardized data model or data provision. Identification, integration, and continuous updates cause effort for each data source. The Data Sharing Community collaborates on identifying data requirements globally. The same for identifying reference data sources, both Open Data and commercial. CDQ collects all such information, machine-readable in a semantic graph, as well-structured metadata. CDQ derives data quality rules from this semantic metadata, automatically, for measuring data quality. And CDQ automatically integrates all reference data into a Data Pool. All metadata and reference data is accessible also for Clients, both documented for humans and machine-readable, in this wiki.
Release status The release status in terms of development progress or maturity of a product feature or a business capability.<br/><code>EMPTY</code> (0): No feature considered yet, just rough idea for capability.<br/><code>IDEA</code> (1): Just an idea, not yet designed in detail.<br/><code>DESIGN</code> (2): Software design ready, development not yet started.<br/><code>DEVELOPMENT</code> (3): Software development in progress.<br/><code>ALPHA</code> (4): First functional release, in terms of a Minimal Viable Product (MVP).<br/><code>BETA</code> (5): Tested by selected users.<br/><code>RC</code> (6): Release candidate, fully tested, not yet used in production by many customers.<br/><code>LIVE</code> (7): Used in production by customers, fully monitored and supported.<br/><code>DEPRECATED</code> (-1): End of life planned, but still available.<br/><code>EOL</code> (-2): End of life, historic service, no longer available.<br/><code>BROKEN</code> (-3): Service was used in production but is currently not available. However, CDQ tries to repair or reactivate it.<br/><code>DISCONTINUED</code> (-4): The data source has ceased providing updates; nonetheless, we continue to offer the most recent available data. EMPTY
Use cases Not used in any use case
Apps No app provides this capability
APIs No API provides this capability

Features

No features yet available

Facts and Figures

Administrative Areas 3,785
Countries 316
Data Quality Rules 3,103
Data Sources (external) 0
Identifiers 498
Legal Forms 1,004
Registration authorities (issuing bodies) 1,277
Terms 1,682
Business capabilities 15
Product features 33
Use cases 38