Comon Data Elements (CDEs)

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. Common data elements are a logical units of data pertaining to one type of information with specific and clear descriptor.  The use of CDEs can lead to a well-defined lexicon for describing and reporting on how preclinical data are collected, with the goal of enhancing rigor, reproducibility and transparency of preclinical TBI data.  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

  • CDEs were first defined in 1999 for use in NCI clinical trials (Silva & Wittes, 1999)

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

  • Community input and feedback is integral to development of useable CDEs. 

Next Steps in Developing Preclinical CDEs:

  • Survey existing preclinical CDEs

  • Develop core set of CDEs for study and animal metadata and map datasets to core CDEs

  • Widen CDE development

  • Consider end-to-end use of CDEs

  • Integrate data sharing requirements and compatibility with CDE tools