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Stress-free Data Formatting and Sharing on the ODC-SCI with Britt Fedor
- 12:25pm February 8, 2024
- 1135 views
Britt comes to the ODC-SCI after having completed her PhD in Neuroscience at the University of Alberta and is supported by funding from the Christopher and Dana Reeve Foundation. Her scientific traini...
Are you prepared for the 2023 NIH Data sharing policy?
- 09:36am August 26, 2022
- 2180 views
- NIH data sharing mandate, data management, data sharing plan,
Here is a short article with helpful information and links on the upcoming to keep you up to date.
NIH Spinal Cord Injury Preclinical Data Workshop: Developing a FAIR Share Community, Sept. 27, 2016 Bethesda, MD
- 04:48pm November 5, 2018
- 1346 views
Meeting Date(s):Tuesday, October 4, 2016 to Wednesday, October 5, 2016Location: Neuroscience Center, 6001 Executive Blvd.Rockville, Maryland United States Registration Date(s): Monday, August 1, 2016 to Tuesday, September 27, 2016Sponsored by: -National Institute of Neurological Disorders and Stroke-Rick Hansen Institute-Wings for Life-International Spinal Research Trust-University of Alberta
STREET-FAIR a Bring-your-own Data Hackathon, Nov. 4, 2018, San Diego CA
- 02:06pm November 4, 2018
- 1240 views
International Neuroinformatics Coordinating Facility (INCF) Training Seed Funding Award: “STREET FAIR”: A bring-your-own-data hackathon in support of FAIR principles in the field of neurological trauma.
Spinal Cord Injury Preclinical Data Workshop: Developing a FAIR Share Community
- 03:45pm February 13, 2017
- 862 views
Notice of meeting in DC (Fall 2016)
Welcome to Open Data Commons for Spinal Cord Injury (ODC-SCI)!
- 02:35pm February 6, 2017
- 2164 views
Welcome to the Open Data Commons for Spinal Cord Injury (ODC-SCI)!
About
Spinal cord injury (SCI) produces a complex syndrome characterized by loss of motor control and mobility; loss of bladder, bowel and sexual function; pathological pain; and loss of autonomy. The multifaceted nature of SCI presents a challenge for the translational pipeline. This problem of SCI complexity can be conceptualized as a big-data issue: the field needs a forum for large-scale data-sharing and application of advanced analytics to catalyze SCI discoveries. Various funders and publishers have recognized this need as well currently implementing data sharing mandates.
To address this challenge the SCI research community is assembling a large database through collaborative and FAIR data sharing. We are a digital infrastructure with the goal to democratize SCI data, allowing researchers to access existing SCI data, contribute their own, and publish with citable DOI. Learn more
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