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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 \[DataStaR: An Institutional Approach to Research Data Curation\|[http://www.iassistdata.org/publications/iq/iq31/iqvol313steinhart.pdf]\]) Wiki Markup
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The "Change Log Writer" script also needs the fully qualified path for the change log file. This can be acquired in one of two ways:
A string parameter on the PythonActor named 'action'.
OR
A port on the PythonActor named 'action' containing a StringToken.
The "Change Log Writer" PythonActor is used in the following workflows:
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CSVDatastreamDisseminationActor.py
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The "Error Log Writer" script also needs the fully qualified path for the error log file. This can be acquired in one of two ways:
A string parameter on the PythonActor named 'action'.
OR
A port on the PythonActor named 'action' containing a StringToken.
The "Error Log Writer" PythonActor is used in the following workflows:
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The "Normalize Date" script also needs to get a list of indexes for the columns that contain dates. This can be done acquired in one of two ways:
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A string parameter on the PythonActor named 'indexes'
OR
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A port named 'indexes' containing a StringToken.
In either case, the string must contain either a comma-separated list of column numbers or a formula describing a regular sequence that can be used to generate the list. The format of the formula is START + INCREMENT * COUNT. For example, the formula 7+4*10 means there are 10 columns in the list, dates occur every 4 columns starting with column 7. This would generate the list 7,11,15,19,23,27,31,35,39,43.
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The "Normalize Date" PythonActor is used in the following workflows:
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The "Normalize Date" script also needs the character to be used as a separator between columns in the output text string. This can be acquired in one of two ways:
A string parameter on the PythonActor named 'separator'
OR
A port named 'separator' containing a StringToken.
In either case, the string must contain a comma-separated list of column numbers.
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The "Output Prep" PythonActor is used in the following workflows:
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