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Published on: June 7, 2024
473
A Community Effort to Develop Common Data Elements for Pre-Clinical Spinal Cord Injury Research
Britt A Fedor1,2, Abel Torres-Espin3,4, Romana Vavrek1,2
1Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, Canada.
Neurotrauma Reports
|September 8, 2025
Summary
Developing common data elements (CDEs) is crucial for standardizing preclinical spinal cord injury (SCI) research. This initiative aims to improve data sharing and reproducibility in the field.
Area of Science:
- Biomedical Research
- Neuroscience
- Data Science
Background:
- Scientific knowledge dissemination has historically relied on static article formats, limiting data accessibility and reuse.
- Open science initiatives emphasize transparency, reproducibility, and replicability, necessitating improved data organization and sharing.
- Big data, machine learning, and AI advancements require machine-readable and harmonized data for complex biological and biomedical research.
Purpose of the Study:
- To address the challenge of organizing and describing scientific data, a skill rarely explicitly taught to researchers.
- To establish a common language for describing and sharing preclinical spinal cord injury (SCI) research data.
- To outline a pragmatic approach for creating Common Data Elements (CDEs) tailored for preclinical SCI research.
Main Methods:
- Convened the "Preclinical SCI Common Data Elements (CDE) Workshop" in June 2024, in collaboration with the National Institute of Neurological Disorders and Stroke.
- Gathered input from the SCI research community regarding data standardization needs and challenges.
- Reviewed insights from related CDE initiatives in other research areas.
Main Results:
- Identified the critical need for standardized data definitions and reporting structures in preclinical SCI research.
- Highlighted the importance of machine-readable and harmonized data for leveraging advanced computational approaches.
- Collected community input to inform the development of a practical framework for CDE creation.
Conclusions:
- Common Data Elements (CDEs) offer a practical solution for standardizing preclinical SCI data, enhancing data sharing and interoperability.
- The workshop proceedings and community input provide a foundation for developing a robust CDE set for SCI research.
- Implementing CDEs will facilitate greater transparency, reproducibility, and the advancement of SCI research through improved data utilization.
