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The collection of raw scientific data requires coordination between the CV Data Acquisition phase (which extracts the raw data from instruments) and the CV Data Curation phase (which packages and stores the data).
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Notation of Computational Viewpoint Models#notation_cv_objects |
The delivery of raw data into a research infrastructure is driven by collaboration between an CV Service Objects#acquisition_acquisition service and a CV Service Objects#data_data transfer _ service. This process can be configured using a CV Presentation Objects#field_field laboratory subject to an CV Service Objects#aaai_AAAI service authorisation, via the CV Service Objects#aaai_AAAI service's authorise action interface. Regardless, the acquisition service identifies the instruments that act as data sources and provides information on their output behaviour, whilst the data transfer service provides a CV Component Objects#data_data transporter that can establish (multiple, persistent) data channels between instruments and data stores. The data transporter (a CV Component Objects#raw_raw data _ collector) can initiate data transfer by requesting data from one or more CV Component Objects#instrument_instrument controller and preparing one or more CV Component Objects#data_data store _ controller to receive the data.
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The raw data collector is considered responsible for packaging any raw data obtained into a format suitable for curation - this may entail chunking data streams, assigning persistent identifiers and associating metadata to the resulting datasets. To assist in this, a raw data collector may acquire identifiers from a CV Service Objects#pid_PID service. It may also want to register the presence of new data and any immediately apparent data characteristics in infrastructure data catalogues - this is done by invoking an update operation on the CV Service Objects#catalogue_catalogue service.