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Toward A Universal Biomedical Data Translator

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 09 Nov 2018 Netherlands, United States English Publisher:WileyJournal:Clinical and Translational Science, volume 12, pages 86-90 (issn: 1752-8054, eissn: 1752-8062, Copyright policy )Funded by:NIH | Biomedical Data Translato..., NIH | Biomedical Data Translato..., NIH | Biomedical Data Translato... +7 projects
Authors: Fecho, Karamarie; Ahalt, Stanley C.; Altman, Russ B.; Balhoff, Jim; Bizon, Chris; Brukiewich, Richard; Burtt, Noel; +16 Authors

doi: 10.1111/cts.12591

pmid: 30412337

pmc: PMC6440568

Toward A Universal Biomedical Data Translator

Abstract

Myriad biomedical data are available today and bring with them a need to "translate" those data into meaningful information that can be used to accelerate clinical and translational science and drive innovations in clinical care and drug discovery. We describe the work of The Biomedical Data Translator Consortium to develop a platform that supports the translation of data into knowledge by applying inferential methods to a graph representation of biomedical entities and their relationships.

Countries
Netherlands, United States
Related Organizations
Keywords

Big Data, Data Analysis, Other Medical and Health Sciences, Biomedical and Clinical Sciences, Biomedical, Information Dissemination, Oncology and Carcinogenesis, Computational Biology, Pharmacology and Pharmaceutical Sciences, Cardiorespiratory Medicine and Haematology, Cardiovascular medicine and haematology, United States, Biomedical Data Translator Consortium, Translational Research, Biomedical, Pharmacology and pharmaceutical sciences, National Institutes of Health (U.S.), Cardiovascular Medicine and Haematology, Translational Research, General Clinical Medicine, Perspectives

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 56
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
56
Top 10%
Top 10%
Top 1%
Green
gold
Related to Research communities
Knowmad Institut
Netherlands Research Portal