Science Impact of Sustained Cyberinfrastructure: The Pegasus Example

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https://www.youtube.com/watch
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This talk is the first in a series of NSF's Office of Advanced Cyberinfrastructure (OAC) webinars. Dr. Deelman describes the challenges of developing and sustaining cyberinfrastructure capabilities that have impact on scientific discovery and that innovate in the changing cyberinfrastructure landscape. The recent multi-messenger observation triggered by LIGO and VIRGO’s first detection of gravitational waves produced by colliding neutron stars is a clear display of the increasing impact of dependable research cyberinfrastructure (CI) on scientific discovery.

Today’s cyberinfrastructure—hardware, software, and workforce—underpins the entire scientific workflow, from data collection at instruments, through complex analysis, to simulation, visualization, and analytics. The Pegasus project in an example of a cyberinfrastructure effort that enables LIGO and other communities to accomplish their scientific goals. In addition, it delivers robust automation capabilities to researchers at the Southern California Earthquake Center (SCEC) studying seismic phenomena, to astronomers seeking to understand the structure of the universe, to material scientists developing new drug delivery methods, and to students seeking to understand human population migration.
 

Authoring Person(s) Name: 
Ewa Deelman
Authoring Organization(s) Name: 
Information Sciences Institute (ISI), University of Southern California
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
English
More info about
Keywords - short phrases describing what the learning resource is about: 
Collaborative workflow
Cyberinfrastructure for science
Workflow
Workflows - Core Trustworthy Data Repositories Requirements
Published / Broadcast: 
Tuesday, May 22, 2018
Publisher - organization credited with publishing or broadcasting the learning resource: 
National Science Foundation (NSF)
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Contributor Organization(s): 
Name: 
National Science Foundation (NSF)
Type: 
Funding and sponsorship
Educational Info
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Professional Development - increasing knowledge and capabilities related to managing the data produced, used or re-used, curated and/or archived.
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Target Audience - intended audience for which the learning resource was created: 
Research scientist
Software engineer
Mid-career research scientist
Early-career research scientist
Research faculty
Graduate student
Data professional
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
Up to 1 hour