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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 script:

   No Format
   ./etl.sh --dir dataDirectory --workflow DRAFT|CURATION|PUBLISH username:password repositoryURL

   All the data will be uploaded to the requested workflow state. The repositoryURL parameter must be in the format 

   Info
   If you are practicing the ETL process, you may wish to upload your data to the common eagle-i training node. In this case, you would run the following script: No Format ./etl.sh --dir dataDirectory --workflow DRAFT L4:Level4 https://

   yourinstitution

   training.eagle-i.net

   ^{Image Removed}

   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; it is periodically reset programmatically.

   All the data will be uploaded to the requested workflow state. .
3. To verify the data upload, log on to the SWEET application and select the lab to which the ETLd resources belong.