페이지 이력

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The diagram shows the organisation of five CV objects which participate in the preservation of research data. The   data transporter in the diagram could be replaced by a    raw data collector or a    data importer object, and the change would not affect the integrity of the system.  Consequently, this configuration supports both types of data acquisition described in the data acquisition subsystem section. In the example there is are no CV Presentation Objects which implies that the data preservation process is automated.

The   data transporter modelled in the diagram is a complex device which at the same time invokes the CV Service Objects#pid_PID service, the CV Service Objects#catalogue_catalogue service, and the CV Component Objects#data_data store _ controller. The CV Service Objects#pid_PID service is invoked to acquire a unique identifier for the incoming data set. The CV Service Objects#catalogue_catalogue service is invoked to store the metadata associated with the incoming data set. The CV Component Objects#data_data store_controller is invoked to store the incoming data set, along with its persistent identifier and liked to its associated metadata.

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Data annotation

The diagram shows the organisation of five CV objects which participate in the annotation of research data. This task is carried with the oversight of a user or on request from a user, this is why the presentation object CV Presentation Objects#sematic_object sematic laboratory is included. The CV Presentation Objects#sematic_sematic laboratory invokes a CV Broker Objects#semantic_semantic broker which in turn invokes the annotation service. The annotation service provides two functionalities annotation and updating of the conceptual model, both  the annotation and conceptual model are special types of metadata which are stored in the RI's catalogues and linked to a specific dataset, for this the annotation service invokes the catalogue service and the data store controller.