Enhancing Data Sharing for Preclinical Traumatic Brain Injury Research with Common Data Elements
Abstract
Preclinical traumatic brain injury (TBI) research is critical for elucidating pathobiology, identifying biomarkers, and developing potential therapies that would not be possible through clinical research alone. However, successful translation of preclinical results to the clinic has been problematic due to multiple factors, including a failure to consistently replicate preclinical data between multiple laboratories. In part, the replicability problem is due to insufficient rigor and transparency and lack of standardized, common data reporting formats. The PRE-Clinical Interagency reSearch resourcE-TBI (PRECISE-TBI), is a multi-agency funded project established in 2021 to develop cross-cutting resources, including instituting a usable common data element (CDE) framework to help tackle this problem. Development of a central preclinical CDE resource will parallel clinical efforts and define a minimal list of variables that have been designated as both common and important for replication by domain experts across the neurotrauma research community. Using a common, structured data format that unifies the reporting of common methods and outcome variables will increase transparency and rigor across the field and enhance data sharing for reuse. We provide an update on these efforts, with reference to a minimum set of common variables for injury models, behavioral tasks, biomarkers, and magnetic resonance imaging and spectroscopy data acquisition. We highlight CDE use using a series of case studies that exemplify how data can be mapped to CDEs both prospectively and retrospectively. These use cases inform both researchers and data scientists about real-world challenges and serve as the basis for iterative improvements as CDE use evolves.
Fields of Study & Subjects
Traumatic Brain Injury and Neurovascular Disturbances
Traumatic Brain Injury Research
Automotive and Human Injury Biomechanics
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 12 February 2026
- Language
- EN
- Document type
- Preprint