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FAIRSCAPE: A Framework for FAIR and Reproducible Biomedical Analytics
View ORCID ProfileMaxwell Adam Levinson, View ORCID ProfileJustin Niestroy, View ORCID ProfileSadnan Al Manir, Karen Fairchild, Douglas E. Lake, J. Randall Moorman, View ORCID ProfileTim Clark
doi: https://doi.org/10.1101/2020.08.10.244947
Maxwell Adam Levinson
1University of Virginia School of Medicine, epartment of Public Health Sciences (Biomedical Informatics)
Justin Niestroy
1University of Virginia School of Medicine, epartment of Public Health Sciences (Biomedical Informatics)
Sadnan Al Manir
1University of Virginia School of Medicine, epartment of Public Health Sciences (Biomedical Informatics)
Karen Fairchild
3Department of Pediatrics
Douglas E. Lake
2Department of Medicine
5University of Virginia College and Graduate School of Arts and Sciences, Department of Statistics
J. Randall Moorman
2Department of Medicine
Tim Clark
1University of Virginia School of Medicine, epartment of Public Health Sciences (Biomedical Informatics)
4University of Virginia School of Data Science
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Posted August 11, 2020.
FAIRSCAPE: A Framework for FAIR and Reproducible Biomedical Analytics
Maxwell Adam Levinson, Justin Niestroy, Sadnan Al Manir, Karen Fairchild, Douglas E. Lake, J. Randall Moorman, Tim Clark
bioRxiv 2020.08.10.244947; doi: https://doi.org/10.1101/2020.08.10.244947
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