Pre-Clinical Common Data Elements for Traumatic Brain Injury Research: Progress and Use Cases

• DOI: 10.1089/neu.2020.7328
• Publication Date: 2020-12-10T08:02:32Z
• Authors: Michelle C. LaPlaca; J. Russell Huie; Hasan B. Alam; Adam D. Bachstetter; Hűlya Bayir; Patrick F. Bellgowan; Diana Cummings; C. Edward Dixon; Adam R. Ferguson; Chantelle Ferland...; Candace L. Floyd; Stuart H. Friess; Aristea S. Galano...; Edward D. Hall; Neil G. Harris; Bridget E. Hawkins; Ramona R. Hicks; Lindsey E. Hulbert; Victoria E. Johnson; Patricia A. Kabitzke; Audrey D. Lafrenaye; Vance P. Lemmon; Carrie W. Lifshitz; Jonathan Lifshitz; David J. Loane; Leonie Misquitta; Vahagn C. Nikolian; Linda J. Noble-Ha...; Douglas H. Smith; Carol Taylor-Burds; Nsini Umoh; Olga Vovk; Aaron M. Williams; Margaret Young; Laila J. Zai
• Keywords: Traumatic; Physical Injury - Accidents and Adverse Effects; Neurology & Neurosurgery; Common Data Elements; pre-clinical; Animal; common data elements; Clinical Sciences; Neurosciences; Traumatic Brain Injury (TBI); missing value analysis; Brain Disorders; 3. Good health; Disease Models, Animal; 03 medical and health sciences; 0302 clinical medicine; big data; Brain Injuries; Disease Models; Brain Injuries, Traumatic; Animals; reproducibility; Traumatic Head and Spine Injury

Traumatic brain injury (TBI) is an extremely complex condition due to heterogeneity in mechanism, underlying conditions, and secondary injury. Pre-clinical clinical researchers face challenges with reproducibility that negatively impact translation therapeutic development for improved TBI patient outcomes. To address this challenge, Working Groups expanded upon previous efforts developed common data elements (CDEs) describe the most frequently used experimental parameters. The working groups created 913 CDEs study metadata, animal characteristics, history, models, behavioral tests. Use cases applied a set of commonly evaluate degree missing resulting from combining legacy different laboratories two outcome measures (Morris water maze [MWM]; RotorRod/Rotarod). Data were cleaned harmonized Form Structures containing relevant subjected value analysis. For MWM dataset (358 animals five studies, 44 CDEs), 50% contained at least one value, while Rotarod (97 three 48 over 60% value. Overall, 35% values across dataset, 33% demonstrating both feasibility challenge datasets using CDEs. associated forms here are available broader pre-clinical research community promote consistent comprehensive acquisition, as well facilitate sharing formation repositories. In addition addressing standardization effort intended bring attention discrepancies assessment metrics among ultimately accelerate research.