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Abstract Science Gateways provide an easily accessible and powerful computing environment for researchers. These are built around a set of software tools that are frequently and heavily used by large number of researchers in specific domains. Science Gateways have been catering to a growing need of researchers for easy to use computational tools, however their usage model is typically single user-centric. As scientific research becomes ever more team oriented, the need driven by user-demand to support integrated collaborative capabilities in Science Gateways is natural progression. Ability to share data/results with others in an integrated manner is an important and frequently requested capability. In this article we will describe and discuss our work to provide a rich environment for data organization and data sharing by integrating the SeedMeLab (formerly SeedMe2) platform with two Science Gateways: CIPRES and GenApp. With this integration we also demonstrate SeedMeLab’s extensible features and how Science Gateways may incorporate and realize FAIR data principles in practice and transform into community data hubs.
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Facilitating collaborative science through portals connected to high-performance computing
Large scale collaborative science requires tools to facilitate sharing of data, protocols, analysis tools, as well as data products and their provenance. We describe here two recent science gateways successfully deployed to accomplish collaborative research. The first is the Synergistic Discovery and Design Environment (SD2E), which was a web-based analysis platform for collaborative analysis, data sharing, and application development. The second is the 3D Electron Microscopy (3DEM) portal, which is a web-based research platform focused on developing and disseminating new technologies for enhanced resolution 3DEM. Both gateways were hosted and connected to high-performance computing resources at the Texas Advanced Computing Center.
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- PAR ID:
- 10517095
- Publisher / Repository:
- Zenodo
- Date Published:
- Subject(s) / Keyword(s):
- science gateways collaboration FAIR Data supercomputing
- Format(s):
- Medium: X
- Right(s):
- Creative Commons Attribution 4.0 International
- Sponsoring Org:
- National Science Foundation
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Neuroscientists are increasingly relying on high performance/throughput computing resources for experimentation on voluminous data, analysis and visualization at multiple neural levels. Though current science gateways provide access to computing resources, datasets and tools specific to the disciplines, neuroscientists require guided knowledge discovery at various levels to accomplish their research/education tasks. The guidance can help them to navigate them through relevant publications, tools, topic associations and cloud platform options as they accomplish important research and education activities. To address this need and to spur research productivity and rapid learning platform development, we present “OnTimeRecommend”, a novel recommender system that comprises of several integrated recommender modules through RESTful web services. We detail a neuroscience use case in a CyNeuro science gateway, and show how the OnTimeRecommend design can enable novice/expert user interfaces, as well as template-driven control of heterogeneous cloud resources.more » « less
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.5281/zenodo.10034840
