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CC-NIE Network Infrastructure: ASCED -- An Advanced Scientific Collaboration Environment and DMZ

CC-NIE Network Infrastructure: ASCED -- An Advanced Scientific Collaboration Environment and DMZ
CC-NIE 网络基础设施:ASCED——先进的科学协作环境和 DMZ
批准号:
1245827
负责人:
Mark Gardner
金额:
$29.13万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-01-01 至 2014-12-31

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中文摘要
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英文摘要
NSF CC-NIE Network Infrastructure ASCED - An Advanced Scientific Collaboration Environment and DMZM.K. Gardner, S.W. Ellingson, K.R. Bisset, R.B. Knapp, and E.J. BrownCollaboration in scientific discourse is as much about buildingcommunity as it is about data sharing. It is about discipline-specificweb portals to ease data discovery and to facilitate access. It isabout validated tools for working with the data and about the meansfor replicating results. It is about data curation and management. Itis about controlling access to the data in order to obey regulatoryrequirements. And it is about the social interactions betweenscientists. Successful collaborations already address these issues,but in ad hoc ways. New collaborations must tackle the same challengesover and over gain. It would be much more productive if a standardinfrastructure existed for building and hosting collaborationenvironments and communities.The Advanced Scientific Collaboration Environment and DMZ (ASCED) is astandardized infrastructure, based upon open source components, forbuilding and hosting scientific communities. It is built upon theScience DMZ, an infrastructure for efficiently sharing data, byincluding a private cloud for hosting collaboration environments. Itsupports role-based access control, facilitates data management, andprovides PIs with tools for abiding by regulatory requirements. It isa standard base upon which scientific communities can be built,allowing future proposals to focus on the specifics of their research.It is also envisioned that ASCED will be used as a platform foreducators to engage students at all levels. And it can be a platformfor engaging the public, both in the dissemination of results and inparticipating in research.
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Collaborative Research: IMR: MM-1B: Automating Privacy-Preserving Data Sharing of Campus Network Traffic Logs
EAGER: US Ignite: FitGENI - The Impact of Video Fidelity on Fitness Efficacy
CC-NIE Network Infrastructure: MARIA 100G - Accelerating Science for All Virginia Universities
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