Conference proceeding
Metadata Capital: Automating Metadata Workflows in the NIEHS Viral Vector Core Laboratory
METADATA AND SEMANTICS RESEARCH, MTSR 2014, v 478, pp 1-13
01 Jan 2014
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
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.
Metrics
Details
- Title
- Metadata Capital: Automating Metadata Workflows in the NIEHS Viral Vector Core Laboratory
- Creators
- Jane Greenberg - Drexel UniversityAngela Murillo - Drexel UniversityAdrian Ogletree - Drexel UniversityRebecca Boyles - National Institute of Environmental Health SciencesNegin Martin - National Institute of Environmental Health SciencesCharles Romeo - National Institute of Environmental Health Sciences
- Contributors
- S Closs (Editor)R Studer (Editor)E Garoufallou (Editor)M A Sicilia (Editor)
- Publication Details
- METADATA AND SEMANTICS RESEARCH, MTSR 2014, v 478, pp 1-13
- Series
- Communications in Computer and Information Science
- Publisher
- Springer Nature
- Number of pages
- 13
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000363269900001
- Scopus ID
- 2-s2.0-84916607794
- Other Identifier
- 991019170410204721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- Computer Science, Theory & Methods