Presentation + Paper
18 May 2017 The EDRN knowledge environment: an open source, scalable informatics platform for biological sciences research
Daniel Crichton, Ashish Mahabal, Kristen Anton, Luca Cinquini, Maureen Colbert, S. George Djorgovski, Heather Kincaid, Sean Kelly, David Liu
Author Affiliations +
Abstract
We describe here the Early Detection Research Network (EDRN) for Cancer’s knowledge environment. It is an open source platform built by NASA’s Jet Propulsion Laboratory with contributions from the California Institute of Technology, and Giesel School of Medicine at Dartmouth. It uses tools like Apache OODT, Plone, and Solr, and borrows heavily from JPL’s Planetary Data System’s ontological infrastructure. It has accumulated data on hundreds of thousands of biospecemens and serves over 1300 registered users across the National Cancer Institute (NCI). The scalable computing infrastructure is built such that we are being able to reach out to other agencies, provide homogeneous access, and provide seamless analytics support and bioinformatics tools through community engagement.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel Crichton, Ashish Mahabal, Kristen Anton, Luca Cinquini, Maureen Colbert, S. George Djorgovski, Heather Kincaid, Sean Kelly, and David Liu "The EDRN knowledge environment: an open source, scalable informatics platform for biological sciences research", Proc. SPIE 10194, Micro- and Nanotechnology Sensors, Systems, and Applications IX, 101942A (18 May 2017); https://doi.org/10.1117/12.2263842
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Data modeling

Cancer

Information science

Data processing

Data centers

Data archive systems

Analytical research

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