NCBI-Hackathons/TriFECTA

The goal of this project is use natural language processing to extract exclusion and inclusion criteria from free form text fields to match patients with clinical trials.

Tags: Shell Jupyter Notebook Python Perl

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Digital Object Assessments (1)


Assessment Metrics Date
Rubric Project   Dockerfile available ReadMe Available Informative Description The tool can be freely downloaded or accessed from a webpage. Source code is shared in a public repository and is documented. Domains in use are clearly defined and use community accepted terminology Previous versions of the tool are made available. The tool can be accessed programmatically through an API and follows community standards for open APIs. Licensing information is provided on the toolÂ’s homepage. Information is provided describing how to cite the dataset. Provenance scheme Contact information is provided for the creator(s) of the dataset. The metadata includes a title for the data resource Use of a formal, accessible, shared, and broadly applicable language for knowledge representation.
NCBI Hackathon Rubric NCBI-Hackathons: FAIRy-COMPASS FAIRness assessment of NCBI Hackathon PProducts
no (0.00) yes (1.00) yes (1.00) yes (1.00) yes (1.00)       yes (1.00)       yes (1.00)   Feb 22, 2019