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The figure below is a high level depiction of the ETL process for spreadsheets.

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The SWIFT toolkit is comprised of:

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1. Place your input files (i.e. the completed templates) in a directory of your choice, e.g. dataDirectory. All files contained in this directory will be processed by the ETLer.

2. To run an ETL, execute the following command. Note that all records will be uploaded in the requested workflow state - we recommend to choose CURATION, verify the resources were ETLd correctly, and then publish using the bulk workflow command (see below). If you've already ran a test ETL in a staging environment, choose PUBLISH directly.

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   ./ETLer.sh -d dataDirectory [-p DRAFT|CURATION|PUBLISH] -c username:password -r repositoryURL

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   If you are practicing the ETL process, you may wish to upload your data to the common eagle-i training node. In this case, if your directory is named dataDirectory, the script would be executed as follows (default workflow state is DRAFT): No Format ./ETLer.sh -d dataDirectory -c L4:Level4 -r https://training.eagle-i.net Note that the data that is uploaded to the training node CAN be viewed and modified by others even in a draft state (even if you subsequently lock the records). Note also that the information in the training node is not persistent as the node is refreshed periodically.

3. A detailed report of the ETL results is generated in the ./logs directory; please inspect it to verify that all rows were correctly uploaded. The RDF version of generated resources is also logged in this directory.
4. To further verify the data upload, log on to the SWEET application and select the lab to which the ETLd resources belong.

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