Common 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. 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.  

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What is a Common Data Element?

 

 

 

 

 

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• 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 

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Community input and feedback is integral to development of usable CDEs. 

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Next Steps in Developing Preclinical CDEs:

PRECISE-TBI is currently

• Considering laboratory-to-data sharing use of  CDEs

• Developing a core set of CDEs for study and animal metadata. The first set is available here 

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

• Iteratively refine and develop CDEs along with volunteer members of the TBI field.  Fill in the contact info below to join.

• Integrate data sharing requirements and compatibility with CDE tools

• Surveying existing preclinical CDEs available

 

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