Metadata Capital: Automating Metadata Workflows in the NIEHS Viral Vector Core Laboratory
This paper presents research examining metadata capital in the context of the Viral Vector Core Laboratory at the National Institute of Environmental Health Sciences (NIEHS). Methods include collaborative workflow modeling and a metadata analysis. Models of the laboratory’s workflow and metadata activity are generated to identify potential opportunities for defining microservices that may be supported by iRODS rules. Generic iRODS rules are also shared along with images of the iRODS prototype. The discussion includes an exploration of a modified capital sigma equation to understand metadata as an asset. The work aims to raise awareness of metadata as an asset and to incentivize investment in metadata R&D.
KeywordsMetadata Capital Viral Vector Core Laboratory qPCR data Workflows E-Science iRODS
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