Enhancing Data Sharing for Preclinical Traumatic Brain Injury Research with Common Data Elements
Year: 2026
Type: preprint
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.
Authors: LaPlaca, Michelle C., Harris, Neil G., Surles-Zeigler, Monique C., Gurkoff, Gene G., Ferguson, Adam, Dixon, C. Edward, Lyeth, Bruce, VandeVord, Pamela J., Johnson, Catherin E., Crawford, Fiona, Ferguson, Scott, Bondi, Corina, Huie, J. Russell, Martone, Maryann E., Grethe, Jeffrey S., Torres-Espin, Abel, Cheng, Wai Hang (Tom), Wanner, Ina B., Jasmin, Sela, Kobaissy, Firas, Boutte, Angela M., Agoston, Denes, Moro, Federico, Febo, Marcelo, Smith, Gregory D., Duncan, Dominique, Obenaus, Andre, Allendorfer, Jane B., Korotcov, Alexandru, Floyd, Candace L.
Institutions: Georgia Institute of Technology, Emory University, Atlanta VA Medical Center, University of California, Los Angeles, VA Greater Los Angeles Healthcare System, Howard University, University of California San Diego, VA Northern California Health Care System, University of California, Davis, San Francisco VA Medical Center, University of California, San Francisco, University of Pittsburgh, VA Pittsburgh Healthcare System, Salem VA Medical Center, Virginia Tech, Missouri University of Science and Technology, Harry S. Truman Memorial Veterans' Hospital, Roskamp Institute, University of Waterloo, University of British Columbia, Morehouse School of Medicine, National Institutes of Health, Uniformed Services University of the Health Sciences, Mario Negri Institute for Pharmacological Research, University of Florida, University of Pennsylvania, University of California, Riverside, University of Alabama at Birmingham
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Award: G255275581
OpenAlex ID: W7128709334