Award Abstract # 1842042
Pilot Study for a Cyberinfrastructure Center of Excellence

NSF Org: OAC
Office of Advanced Cyberinfrastructure (OAC)
Recipient: UNIVERSITY OF SOUTHERN CALIFORNIA
Initial Amendment Date: September 9, 2018
Latest Amendment Date: May 19, 2021
Award Number: 1842042
Award Instrument: Continuing Grant
Program Manager: Kevin Thompson
kthompso@nsf.gov
 (703)292-4220
OAC
 Office of Advanced Cyberinfrastructure (OAC)
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: October 1, 2018
End Date: September 30, 2021 (Estimated)
Total Intended Award Amount: $3,000,000.00
Total Awarded Amount to Date: $3,884,346.00
Funds Obligated to Date: FY 2018 = $1,500,000.00
FY 2019 = $2,099,999.00

FY 2021 = $284,347.00
History of Investigator:
  • Ewa Deelman (Principal Investigator)
    deelman@isi.edu
  • Valerio Pascucci (Co-Principal Investigator)
  • Anirban Mandal (Co-Principal Investigator)
  • Jaroslaw Nabrzyski (Co-Principal Investigator)
  • Robert Ricci (Co-Principal Investigator)
Recipient Sponsored Research Office: University of Southern California
3720 S FLOWER ST FL 3
LOS ANGELES
CA  US  90033
(213)740-7762
Sponsor Congressional District: 34
Primary Place of Performance: University of Southern California
4676 Admiralty Way, Ste 1001
Marina del Rey
CA  US  90292-6611
Primary Place of Performance
Congressional District:
36
Unique Entity Identifier (UEI): G88KLJR3KYT5
Parent UEI:
NSF Program(s): CYBERINFRASTRUCTURE,
MacroSysBIO & NEON-Enabled Sci
Primary Program Source: 01001819DB NSF RESEARCH & RELATED ACTIVIT
01001920DB NSF RESEARCH & RELATED ACTIVIT

01002122DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 020Z, 062Z
Program Element Code(s): 723100, 795900
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

NSF's major multi-user research facilities (large facilities) are sophisticated research instruments and platforms - such as large telescopes, interferometers and distributed sensor arrays - that serve diverse scientific disciplines from astronomy and physics to geoscience and biological science. Large facilities are increasingly dependent on advanced cyberinfrastructure (CI) - computing, data and software systems, networking, and associated human capital - to enable broad delivery and analysis of facility-generated data. As a result of these cyber infrastructure tools, scientists and the public gain new insights into fundamental questions about the structure and history of the universe, the world we live in today, and how our plants and animals may change in the coming decades. The goal of this pilot project is to develop a model for a Cyberinfrastructure Center of Excellence (CI CoE) that facilitates community building and sharing and applies knowledge of best practices and innovative solutions for facility CI.

The pilot project will explore how such a center would facilitate CI improvements for existing facilities and for the design of new facilities that exploit advanced CI architecture designs and leverage establish tools and solutions. The pilot project will also catalyze a key function of an eventual CI CoE - to provide a forum for exchange of experience and knowledge among CI experts. The project will also gather best practices for large facilities, with the aim of enhancing individual facility CI efforts in the broader CI context. The discussion forum and planning effort for a future CI CoE will also address training and workforce development by expanding the pool of skilled facility CI experts and forging career paths for CI professionals. The result of this work will be a strategic plan for a CI CoE that will be evaluated and refined through community interactions: workshops and direct engagement with the facilities and the broader CI community.

This project is being supported by the Office of Advanced Cyberinfrastructure in the Directorate for Computer and Information Science and Engineering and the Division of Emerging Frontiers in the Directorate for Biological Sciences.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 18)
Athawale, Tushar and Maljovec, Dan and Yan, Lin and Johnson, Christopher and Pascucci, Valerio and Wang, Bei "Uncertainty Visualization of 2D Morse Complex Ensembles Using Statistical Summary Maps" IEEE Transactions on Visualization and Computer Graphics , 2020 https://doi.org/10.1109/TVCG.2020.3022359 Citation Details
Bhatia, Harsh and Kirby, Robert M. and Pascucci, Valerio and Bremer, Peer-Timo "Vector Field Decompositions using Multiscale Poisson Kernel" IEEE Transactions on Visualization and Computer Graphics , 2020 https://doi.org/10.1109/TVCG.2020.2984413 Citation Details
Childs, Hank and Ahern, Sean D. and Ahrens, James and Bauer, Andrew C. and Bennett, Janine and Bethel, E. Wes and Bremer, Peer-Timo and Brugger, Eric and Cottam, Joseph and Dorier, Matthieu and Dutta, Soumya and Favre, Jean M. and Fogal, Thomas and Frey, "A terminology for in situ visualization and analysis systems" The International Journal of High Performance Computing Applications , v.34 , 2020 https://doi.org/10.1177/1094342020935991 Citation Details
Christopherson, Laura and Mandal, Anirban and Scott, Erik and Baldin, Ilya "Toward a Data Lifecycle Model for NSF Large Facilities" Toward a Data Lifecycle Model for NSF Large Facilities , 2020 10.1145/3311790.3396636 Citation Details
Deelman, Ewa and Mandal, Anirban and Pascucci, Valerio and Sons, Susan and Wyngaard, Jane and Vardeman, Charles and Petruzza, Steve and Baldin, Ilya and Christopherson, Laura and Mitchell, Ryan and Pottier, Loic and Rynge, Mats and Scott, Erik and Vahi, K "Cyberinfrastructure Center of Excellence Pilot: Connecting Large Facilities Cyberinfrastructure" 15th International Conference on eScience (eScience) , 2019 https://doi.org/10.1109/eScience.2019.00058 Citation Details
Hoang, Duong and Summa, Brian and Bhatia, Harsh and Lindstrom, Peter and Klacansky, Pavol and Usher, Will and Bremer, Peer-Timo and Pascucci, Valerio "Efficient and Flexible Hierarchical Data Layouts for a Unified Encoding of Scalar Field Precision and Resolution" IEEE Transactions on Visualization and Computer Graphics , 2020 https://doi.org/10.1109/TVCG.2020.3030381 Citation Details
Huang, Xuan and Miao, Haichao and Kim, Hyojin and Townsend, Andrew and Champley, Kyle and Tringe, Joseph and Pascucci, Valerio and Bremer, Peer-Timo "Bimodal Visualization of Industrial X-Ray and Neutron Computed Tomography Data" IEEE Transactions on Visualization and Computer Graphics , 2024 https://doi.org/10.1109/TVCG.2024.3382607 Citation Details
Humphreys, David and Kupresanin, A. and Boyer, M. D. and Canik, J. and Chang, C. S. and Cyr, E. C. and Granetz, R. and Hittinger, J. and Kolemen, E. and Lawrence, E. and Pascucci, V. and Patra, A. and Schissel, D. "Advancing Fusion with Machine Learning Research Needs Workshop Report" Journal of Fusion Energy , v.39 , 2020 https://doi.org/10.1007/s10894-020-00258-1 Citation Details
Klacansky, Pavol and Gyulassy, Attila and Bremer, Peer-Timo and Pascucci, Valerio "Toward Localized Topological Data Structures: Querying the Forest for the Tree" IEEE Transactions on Visualization and Computer Graphics , v.26 , 2020 10.1109/TVCG.2019.2934257 Citation Details
Liu, Shusen and Gaffney, Jim and Peterson, Luc and Robinson, Peter B. and Bhatia, Harsh and Pascucci, Valerio and Spears, Brian K. and Bremer, Peer-Timo and Wang, Di and Maljovec, Dan and Anirudh, Rushil and Thiagarajan, Jayaraman J. and Jacobs, Sam Ade a "Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications" IEEE Transactions on Visualization and Computer Graphics , v.26 , 2020 https://doi.org/10.1109/TVCG.2019.2934594 Citation Details
Liu, Shusen and Li, Zhimin and Li, Tao and Srikumar, Vivek and Pascucci, Valerio and Bremer, Peer-Timo "NLIZE: A Perturbation-Driven Visual Interrogation Tool for Analyzing and Interpreting Natural Language Inference Models" IEEE Transactions on Visualization and Computer Graphics , v.25 , 2019 10.1109/TVCG.2018.2865230 Citation Details
(Showing: 1 - 10 of 18)

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

NSF Major Facilities (MFs) enable unprecedented discoveries across science and engineering disciplines and educate students, researchers, and the public. Innovative and robust cyberinfrastructure (CI) is critical to the MF science missions and is fundamental to the scientific data lifecycle (DLC) that represents the transformation of raw data captured by state-of-the-art scientific instruments into data products that can be visualized, disseminated, and converted into insights and knowledge. The goal of the CI CoE Pilot project (Pilot) effort was to develop a model and a blueprint for a Center of Excellence (CoE) that would serve the CI needs of the MFs  by providing MFs with a central and collaborative space focused on CI issues in MFs.

To achieve the goal, the Pilot provided expertise and active support to cyberinfrastructure practitioners at MFs by engaging with the MFs, understanding their CI needs, understanding the contributions the MFs are making to the CI community, and exploring opportunities for building a broader CI community. To better understand MFs' CI, the Pilot developed and validated a model of the MF data lifecycle that follows the data generation and management within a facility and gained an understanding of how this model captures the fundamental stages that the facilities' data passes through from the scientific instruments to the principal investigators and their teams, to the broader collaborations and the public. The Pilot conducted (a) deep engagements, i.e. focused joint activities with MF teams on selected CI topics that are important yet no fully solved, with several MFs, including National Ecological Observatory Network (NEON), Seismological Facilities for the Advancement of Geoscience (SAGE), Geodetic Facility for the Advancement of Geoscience (GAGE), National Center for Atmospheric Research (NCAR), and Arecibo Observatory (AO), (b) topical discussions on CI topics relevant to multiple MFs, e.g. Identity Management, and (c) community building through identifying related efforts, collecting and disseminating information about the broad community activities, and maintaining as a living resource for community information. The Pilot also gained an understanding of CI workforce development challenges the MFs face while designing, constructing, and operating their CI and what solutions they are exploring and adopting within their projects.

Through the above activities, the Pilot identified the needs of the MFs in the data lifecycle and workforce development areas, and developed a blueprint for a CI CoE that will learn about and share the CI solutions designed, developed, and/or adopted by the MFs, provide expertise to the largest NSF projects with advanced and complex CI architectures, and foster a community of CI practitioners and researchers. 

The Pilot activities not only enhanced the CI for MFs, but also improved overall productivity and efficiency by providing MFs with expert CI knowledge and support and consequently reduced the burden of individual CI development and management that MFs currently bear. The Pilot made a significant impact on the MF CI community by being a resource providing expertise across MFs and the broader CI ecosystem, and being a broker of communications between MFs. At the same time, the Pilot  gained understanding of how the CI within MFs is being designed and operated, in addition to what the unique issues MFs encounter are. The Pilot?s work with NEON resulted in their users accessing data more efficiently in terms of identity management, data semantics, and visualization. In addition, the Pilot aided NEON/NCAR in designing a prototype of a joint NCAR/NEON platform, impacting the cyberinfrastructure collaborations between NCAR and NEON, which will enable novel scientific research in partnership with ecological and atmospheric science communities. The Pilot also aided SAGE/GAGE in planning for a Common Cloud Platform (CCP), which, when fully implemented, will enable seismologists and geogedists to leverage the SAGE and GAGE MF data for important scientific discoveries in their areas of research.


Last Modified: 11/06/2021
Modified by: Ewa Deelman

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