Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"scientific data management"”.
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Dossier: Distributed operating system and infrastructure for scientific data management
As scientific advancement and discovery have become increasingly data-driven and interdisciplinary, there are urging needs for advanced cyberinfrastructure to support managing and process- ing scientific data generated from day-to-day research. However, the development of data-driven …
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Automating Laboratory Operations by Intergrating Laboratory Information Management Systems (LIMS) with Analytical Instruments and Scientific Data Management System (SDMS)
The large volume of data generated by commercial and research laboratories, along with requirements mandated by regulatory agencies, have forced companies to use laboratory information management systems (LIMS) to improve efficiencies in tracking, managing samples, and precisely reporting test …
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Grid approaches to data-driven scientific and engineering workflows
Enabling the full life cycle of scientific and engineering workflows requires robust middleware and services that support near-realtime data movement, high-performance processing and effective data management. In this context, we consider two related technology areas: Grid computing which is fast …
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Epidemiology Experimentation and Simulation Management through Scientific Digital Libraries
Advances in scientific data management, discovery, dissemination, and sharing are changing the manner in which scientific studies are being conducted and repurposed. Data-intensive scientific practices increasingly require data management related services not available in existing digital …
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A scientific workflow framework for scientific data querying and processing
… biology, are now facing tremendous increases in data volumes, as well as corresponding data analysis tools. These increased data and tools demand a better framework to manage the new generation scientific research cycle from data capture, data curation to data analysis, data query and data …