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beh_acq beh_acq

Behaviours of the Data Acquisition Community 

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  Data Quality Checking: A behaviour performed by a Data Curator that detects and corrects (or removes) corrupt, inconsistent or inaccurate records from data sets.

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  Data Preservation: A behaviour performed by a Data Curator that deposits (over long-term) the data and metadata or other supplementary data and methods according to specified policies, and makes them accessible on request.
• Data Product Generation: A behaviour performed by a Data Curator that processes data against requirement specifications and standardised formats and descriptions.

• Data Replication: A behaviour performed by a Storage Administrator that creates, deletes and maintains the consistency of copies of a data set on multiple storage devices.

• Data Identification: A behaviour performed by a PID manager which provides a unique PID for data and metadata being curated.

• Select or Build Local Conceptual Model: A behaviour performed by a Semantic Curator which supports the annotation of data and metadata.

• Data Annotation: A behaviour performed by a Semantic Curator which supports the linking of data and metadata with a local conceptual model.

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title Curation Community Behaviours
Notation

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These are general behaviours of a service-oriented computing model. In the context of environmental science research infrastructures, a data processing community will focus on the implementation of domain special services, in particular those supporting Data Assimilation, Data Analysis, Data Mining, Data Extraction, Scientific Modelling and Simulation, (Scientific) Workflow Enactment (See Terminology and Glossary for the definitions of these functionalities).
 

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title Processing Community Behaviours
Notation

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