Enhancing National Cyberinfrastructure

Research Areas

Leading Researcher:
Ewa Deelman

The NSF’s Major Facilities are large, multi-user research facilities that operate and manage sophisticated and diverse research instruments and platforms (e.g., large telescopes, interferometers, distributed sensor arrays) that serve a variety of scientific disciplines, from astronomy and physics to geology and biology and beyond. At USC/ISI, the Cyberinfrastructure Center of Excellence (CI CoE) Pilot project provides active support to CI practitioners at NSF Major Facilities in order to accelerate the data lifecycle and ensure the integrity and effectiveness of the cyberinfrastructure upon which research and discovery depends. Additionally, we have explored the value of CI in the broader societal context of how people and the facilities perceive and respond to major disruptive events (e.g., global pandemic).


  1. Deelman, E., Mandal, A., Murillo, A. P., Nabrzyski, J., Pascucci, V., Ricci, R., Baldin, I., Sons, S., Christopherson, L., Vardeman, C., Ferreira da Silva, R., Wyngaard, J., Petruzza, S., Rynge, M., Vahi, K., Whitcup, W. R., Drake, J., & Scott, E. (2021). Blueprint: Cyberinfrastructure Center of Excellence. Zenodo. https://doi.org/10.5281/zenodo.4587866


  1. Deelman, E., Mandal, A., Pascucci, V., Sons, S., Wyngaard, J., Vardeman II, C. F., Petruzza, S., Baldin, I., Christopherson, L., Mitchell, R., Pottier, L., Rynge, M., Scott, E., Vahi, K., Kogank, M., Mann, J. A., Gulbransen, T., Allen, D., Barlow, D., … Stone, S. (2019). Cyberinfrastructure Center of Excellence Pilot: Connecting Large Facilities Cyberinfrastructure. 15th International Conference on EScience (EScience). (Funding Acknowledgments: NSF 1842042)
  2. Mitchell, R., Pottier, L., Jacobs, S., Ferreira da Silva, R., Rynge, M., Vahi, K., & Deelman, E. (2019). Exploration of Workflow Management Systems Emerging Features from Users Perspectives. First International Workshop on Big Data Tools, Methods, and Use Cases for Innovative Scientific Discovery (BTSD), 4537–4544. https://doi.org/10.1109/BigData47090.2019.9005494 (Funding Acknowledgments: NSF 1842042)