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docs/functional_specs.md

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+# Functional Specification for the REDI-Dropper Application
+
+## Authors
+
+* Andrei Sura <asura@ufl.edu>
+* Kevin Hanson <kshanson@ufl.edu>
+* Philip Chase <pbc@ufl.edu>
+* Christopher P. Barnes <cpb@ufl.edu>
+
+## Overview
+
+The RED-I Dropper application is a tool where by dynamic data is transferred
+from multiple locations via a modern JavaScript framerwork over encrypted
+channel to storage services for further processing. The application can be
+customized to place datasets into processing environments that provide analysis
+and quanitified data to aggregation points.
+
+
+## Workflow and Use Cases
+
+### Ella gets a MRI scan uploaded with RED-I Dropper for analysis.
+
+Ella is a woman of latin heritage living in Miami, FL. She is a widow living
+with her son-in-law and Daughter. She has undergone a neurocognitive assessment
+with Dr. Miami and now she has been referred to the brain imaging specialists
+at WeCare Hospital to have an MRI brain image performed. A technician conducts
+the MRI image collection process. At the conclusion of which consortium staff
+acquire the images and visit a website that is able to handle image uploads
+potentially 3gb in size per study participant encounter. When the consortium
+staff visits the website they utilize a Shibboleth account to
+authenticate securely to the RED-I Dropper website.  Once logged on, the
+consortium staff see a question asking them which subject goes with the MRI
+scan. They see a list that shows the study participant’s ID.
+
+Once the consortium staff verifies that the subject that was scanned is the
+same as the one in the list they select the study participant. The staff is
+prompted with a <b>file picker</b> where they are able to <b>select
+all images</b> obtained from the MRI process at once and set them to upload.
+Prior to an image upload the RED-I Dropper program <b>checks to see if a folder
+exists</b> on the server for the subjectID and if it doesn't exist
+then the <b>folder is created</b> the moment a file is uploaded. As the image
+begins to upload, a <b>progress bar</b> displays for the upload process and once
+completed they see a message saying “MRI scans for Ella have been uploaded,
+thank you!”
+The RED-I Dropper server then <b>prefixes the file names</b> with a <b>unique
+identifier</b> in the format
+“YYYYMMDD_HHMM_SiteID_SubjectID_5digtSequenceNumber” followed by the
+<b>original file name</b>.
+
+Example:
+original filename: <b>xyz.jpg</b>
+stored filename: 20120101_0123_SiteIDA_SubjectIDB_Sequence123_<b>xyz.jpg</b>