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Our Mission:

Translation of preclinical findings to clinical practice remains a great challenge, particularly in neuroscience.  There are many translational challenges including differences in the pathophysiology between clinical conditions and preclinical models; inconsistency in defining and reporting key variables, and a lack of reproducibility. The use of Common Data Elements  (CDEs) can facilitate a well-defined lexicon for describing and reporting on how preclinical data are collected, with the goal of enhancing rigor, reproducibility and transparency Ultimately, we hypothesize that use of CDEs will lead to improved translation.  

What is a Common Data Element?





  • A Common Data Element (CDE) is a logical unit of data pertaining to one type of information, with specific and clear descriptors

  • Common Data Elements are content standards that enable investigators to systematically collect, analyze, and share data across the research community

  • CDE use facilitates research by improving data collection, data analysis, data sharing, and ease of use in data repositories 

Community input and feedback are integral to the development of usable CDEs. 

Next Steps in Developing Preclinical CDEs

PRECISE-TBI is currently:

  • Considering laboratory-to-data sharing use of  CDEs

  • Assessing CDE mapping to datasets. Examples of mapping study metadata and subject data

  • Iteratively refining and developing CDEs with volunteer members of the TBI field.  (Fill in the contact form below to join.)

  • Integrating data-sharing requirements and compatibility with CDE tools

  • Surveying existing preclinical CDEs available


Common Data Elements (CDEs)


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