Reflections on Data Sharing Practices in Spinal Cord Injury Research

John C Gensel1, Michael B Orr2,3

  • 1Spinal Cord and Brain Injury Research Center, Department of Physiology, University of Kentucky Medical School, Lexington, KY, USA. gensel.1@uky.edu.

Neuroinformatics
|January 17, 2021
PubMed

Insights

Few effective pharmacological treatments exist for spinal cord injury (SCI). This editorial examines translational research challenges and highlights the Open Data Commons for Spinal Cord Injury (ODC-SCI) initiative to improve preclinical data sharing and future therapeutic development.

Area of Science:

  • Neuroscience
  • Regenerative Medicine
  • Pharmacology

Background:

  • Despite extensive research, effective pharmacological therapies for spinal cord injury (SCI) remain scarce.
  • Translational research efforts in SCI have faced significant shortcomings, hindering clinical application.
  • Previous experiences highlight challenges in data curation for SCI research.

Discussion:

  • This editorial critically evaluates the limitations of current translational research strategies in spinal cord injury.
  • It emphasizes the need for improved data management and sharing to accelerate therapeutic development.
  • The discussion addresses the complexities of translating preclinical findings into viable clinical treatments.

Key Insights:

  • Preclinical data sharing is crucial for advancing spinal cord injury therapeutics.
  • The Open Data Commons for Spinal Cord Injury (ODC-SCI) is a key initiative for improving data accessibility.
  • Addressing translational research gaps is essential for developing new SCI treatments.

Outlook:

  • Enhanced data sharing through platforms like ODC-SCI promises to improve the success rate of future therapeutic development.
  • Continued community efforts are vital for overcoming existing hurdles in spinal cord injury research.
  • A collaborative approach to data curation and sharing will accelerate the discovery of novel SCI therapies.