Difference between revisions of "IV Information Management Constraints"
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* [[IV Information Management Constraints#DataCollectionConstraints|Data Collection Constraints]] | * [[IV Information Management Constraints#DataCollectionConstraints|Data Collection Constraints]] | ||
* [[IV Information Management Constraints#DataIntegrationConstraints|Data Integration Constraints]] | * [[IV Information Management Constraints#DataIntegrationConstraints|Data Integration Constraints]] | ||
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The constraints for data integration are illustrated in the following figure. Data integration constraints support the correct interpretation of data, helping external data users correctly interpret and map the semantics of data. | The constraints for data integration are illustrated in the following figure. Data integration constraints support the correct interpretation of data, helping external data users correctly interpret and map the semantics of data. |
Revision as of 18:24, 27 March 2020
The IV of the ENVRI RM provides the means for specifying constrains which describe the set of rules governing data management. The set of models used for describing constraints are part of the static schemata in ODP [37]. In the ENVRI RM information management constraints establish mechanisms to:
- avoid loss of data around measurements and observations.
- provide information about the meaning of data.
- make data and metadata available for external use.
The IV of the ENVRI RM provides three types of management constraints:
Data Integration ConstraintsThe constraints for data integration are illustrated in the following figure. Data integration constraints support the correct interpretation of data, helping external data users correctly interpret and map the semantics of data. The observation of these rules makes possible integrating data within a RI and the outside world. This requires adding a special type of metadata, a local conceptual model and then mapping the data to a global conceptual model. Mapping data to global semantics may include simple tasks such as conversions of units, but can also need sophisticated transformations such as code lists cross-referencing or measurement descriptions, and data provenance. |
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Data Publication ConstraintsConstraints for data publication are illustrated in the following figure. The constrains specify conditions necessary for preparing the data to be publicly accessed. |
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