CDEMapper: enhancing National Institutes of Health common data element use with large language models is a research paper published in Journal of the American Medical Informatics Association (2025). On theSindex it has a DataRank of 0. It has been cited 3 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
National Library of Medicine
Grant: U24LM013755
National Institutes of Health
Grant: 1U24LM013755-01
RADx-Rad Discoveries & Data: Consortium Coordination Center Program Organization
FWCI
5.79
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords