10.6084/m9.figshare.7324175.v1
Attila L. Egyedi
Attila L.
Egyedi
Martin J. O’Connor
Martin J.
O’Connor
Marcos Martínez-Romero
Marcos
Martínez-Romero
Debra Willrett
Debra
Willrett
Josef Hardi
Josef
Hardi
John Graybeal
John
Graybeal
Mark A. Musen
Mark
A. Musen
Using Semantic Technologies to Enhance Metadata Submissions to Public Repositories in Biomedicine
Semantic Web Applications and Tools for Healthcare and Life Sciences
2018
Metadata
Metadata Management
Ontologies
Biomedical Engineering not elsewhere classified
2018-12-04 08:33:57
Journal contribution
https://swat4hcls.figshare.com/articles/journal_contribution/Using_Semantic_Technologies_to_Enhance_Metadata_Submissions_to_Public_Repositories_in_Biomedicine/7324175
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<p>The emergence of the FAIR principles is driving renewed efforts in
the biomedical community to produce high-quality metadata that describe da-
tasets submitted to public repositories. A variety of organizations are now in-
volved in developing submission pipelines that place a strong emphasis on ac-
companying submissions with highly descriptive metadata. However, these pipe-
lines have highly variable requirements, which range from using ontology-based
metadata in existing submission pipelines to supporting end-to-end metadata
management in new pipelines. There is a lack of tools for integrating metadata
support when building these pipelines. In this paper we describe a system called
CEDAR that aims to address this challenge. The described tools provide a flexi-
ble, highly configurable solution for producing submission workflows with se-
mantically rich metadata support. We outline how we have used these tools to
deliver robust metadata submission pipelines for several communities, including
the Adaptive Immune Receptor Repertoire (AIRR), the NIH Cloud Credits
Model Pilot (CCP), and the Library of Integrated Network-based Cellular Signa-
tures (LINCS).
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