NCBI-Hackathons/HeartDicer

The project centers on the development and application of machine learning for the analysis of medical imaging data to automate the analysis and feature extraction, diagnosis or prognosis.

URL(s):

View Associations

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