NIH | National Cancer Institute | NCI Wiki  

Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

This is the wiki for the Integrated Canine Data Commons (ICDC) project. This is a joint project between FNL's ADRD and BIDS Directorates to develop the ICDC for NCI's DCTD group, with Toby Hecht as the Federal Lead. The project was initiated via Task Order- HNC17V-12 - Integrated Canine Data Commons. The first phase of the project is to develop and deploy a prototype in two years. There are two option phases, create a production version and then operation and maintenance of Production version.

The ICDC will be part of NCI's CRDC and will be developed using Gen3 technology stack on Amazon AWS. The ICDC will contain canine clinical trial data consisting of many data types such as images, clinical data and sequencing.


Charter:

Anticipated Period of Performance: 9/24/18-9/23/20

Funding: Non-Severable

Base period budget: $1,991,470

PIDs: 

400.041.0076.001.001.002 – BIDS

400.041.0076.001.001.001 - ADRD

COR: Toby Hecht, PhD - DCTD

FNL Project Leads: 

Matthew Beyers - BIDS

John Otridge - BIDS

Ralph Parchment - ADRD

Kickoff meeting: Will be scheduled with the government.  

High Level Scope:

Build a cloud-based prototype Canine Data Commons using Gen3 architecture.  Follow CBIIT EPLC process.  Linked to the Cancer Research Data Commons suite of projects (e.g., Expand Data Commons).  A low number of concurrent users is expected for the prototype.  Staffing will be internal FNL as well as external sub-contracts for SMEs.  Stand-up and run a Steering Committee and incorporate their feedback into system design.  Import existing data into developed system and provide mechanism for future data incorporation.


Success Criteria:

Technical Success:

e.g., stand up of system, ability to search, ability to load data, ability to login, etc.

Collaborative Success:

e.g., number and results of steering committee meetings, use cases defined, relationships developed with public, hits on the website.

Scientific Success:

e.g., papers developed based on data contained in the system, new ideas sparked by data or system collaboration, mentions at scientific meetings, new studies proposed/developed as a result of this system being publicly available.

Excerpt Include
GDL:Cancer Data Service Project Plan
GDL:Cancer Data Service Project Plan
nopaneltrue


In the News:

How are dogs helping us cure cancer in people - US News and World Report: 2018


Papers of Interest:

Phylogenetic Reconstruction of Orthology, Paralogy, and Conserved Synteny for Dog and Human: 2006

Canine Cancer Genomics: Lessons for Canine and Human Health: 2019