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        "description": "RED-I Project\n=============\n\n[![10.5281/zenodo.47793](https://zenodo.org/badge/4064/ctsit/redi.svg)](http://ufl.to/ctsit)\n[![Travis CI](https://api.travis-ci.org/ctsit/redi.svg?branch=master)](https://api.travis-ci.org/ctsit/redi.svg?branch=master)\n[![PyPI version](https://badge.fury.io/py/redi.svg)](https://badge.fury.io/py/redi)\n[![Coverage Status Develop](https://coveralls.io/repos/ctsit/redi/badge.svg?branch=master)](https://coveralls.io/r/ctsit/redi?branch=master)\n\n\nIntroduction\n------------\n\nThe REDCap Electronic Data Importer (RED-I) is a tool which is used to\nautomate the process of loading clinical data from Electronic Medical\nRecords (EMR) systems into [REDCap](http://www.project-redcap.org/)\nStudy data capture systems. RED-I is a general purpose tool for REDCap\ndata importing suitable for use on any study in any REDCap system. It\nuses XML lookups to translate data stored in comma separated values\n(CSV) files and uploads it to a REDCAP Server using the REDCap API. The\ntool allows study data to be securely uploaded from clinical reporting\nsystems, error checked, and uploaded into REDCap. It provides the\ninvestigator with feedback on upload success in the form of summary\nreporting of the data upload process.\n\nYou can view a presentation of the RED-I tool in action on\n[youtube](https://www.youtube.com/watch?v=0x04y5SNPL8&feature=youtu.be).\n\nFor the official documentation please refer to\n[http://redi.readthedocs.io](http://redi.readthedocs.io) or\n[RED-I Project](https://github.com/ctsit/redi/blob/master/docs/about.rst).\n\n\n\n",
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