DataStaR : Data Staging Repository
"_The purpose of DataStaR is to support collaboration and data sharing among researchers during the research process, and to promote publishing or archiving data and high-quality metadata to discipline-specific data centers, and/or to Cornell's own digital repository." (see DataStaR: An Institutional Approach to Research Data Curation)
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Kepler workflows were developed to illustrate how Kepler might be used as an accessioner's workbench.
Retrieves a CSV datastream from an object in a Fedora Repository, processes date columns to standardize their format and saves the results to a local file in CSV format.
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Retrieves a CSV datastream from an object in a Fedora Repository, splits columns containing both latitude and longitude coordinates into two separate columns and saves the results to a local file in CSV format.
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Retrieves a CSV datastream from an object in a Fedora Repository, processes latitude columns to standardize their format and saves the results to a local file in CSV format.
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Retrieves a CSV datastream from an object in a Fedora Repository, processes longitude columns to standardize their format and saves the results to a local file in CSV format.
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A number of new actors were created that provide data access and accessioning functionality.
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This actor writes a log file with a summary of changes made during the latest run of the workflow.
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CSVDatastreamDisseminationActor.py
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This actor writes a log file with a summary of errors encountered during the latest run of the workflow.
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This actor sorts through the output created by a RowAnalysis script and routes the data to the proper output writer.
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This actor splits a text string representing a 'row' into 'columns' using a separator character such as ','.
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The "Split Lat/Long" PythonActor is used in the following workflows:
Kepler workflows were developed to illustrate how Kepler might be used as an accessioner's workbench.
Retrieves a CSV datastream from an object in a Fedora Repository, processes date columns to standardize their format and saves the results to a local file in CSV format.
...
...
...
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Retrieves a CSV datastream from an object in a Fedora Repository, splits columns containing both latitude and longitude coordinates into two separate columns and saves the results to a local file in CSV format.
...
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Retrieves a CSV datastream from an object in a Fedora Repository, processes latitude columns to standardize their format and saves the results to a local file in CSV format.
...
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Retrieves a CSV datastream from an object in a Fedora Repository, processes longitude columns to standardize their format and saves the results to a local file in CSV format.
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