The Virtual Data Collaboratory is a federated data cyberinfrastructure designed to drive data-intensive, interdisciplinary, and collaborative research that will impact researchers, educators, and entrepreneurs across a broad range of disciplines and domains as well as institutional and geographic boundaries.
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The Virtual Data Collaboratory : A Regional Cyberinfrastructure for Collaborative Data-Driven Research. / Parashar, Manish; Simonet, Anthony; Rodero, Ivan; Ghahramani, Forough; Agnew, Grace; Jantz, Ron; Honavar, Vasant.In: Computing in Science and Engineering, Vol. 22, No. 3, 8686134, 01.05.2020, p. 79-92.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - The Virtual Data Collaboratory
T2 - A Regional Cyberinfrastructure for Collaborative Data-Driven Research
AU - Parashar, Manish
AU - Simonet, Anthony
AU - Rodero, Ivan
AU - Ghahramani, Forough
AU - Agnew, Grace
AU - Jantz, Ron
AU - Honavar, Vasant
N1 - Funding Information: This work was supported by NSF Grant 1640834 under the DATANET program. The following people have contributed to this article through their participation in the project: T. Nguyen, C. Hedrick, J.J. Villalobos, M. Scarpel-lino, J. von Oehsen, R. Womack (Rutgers University), W. Figurelle, C. Gilbert, R. Gilmore, K. Miller II, K. Estlund, S. Peterson, R. K. Oldendorf (PSU), E. Chapel, J. Stankiewicz, A. Bathiard (NJEdge), W. Huntoon, M. Carey (KINBER) and A. Johnson (Temple University). Funding Information: Vasant Honavar is an Edward Frymoyer Endowed Professor of Information Sciences and Technology, Associate Director of Institute of CyberScience, and the founding Director of the Center for Big Data Analytics and Discovery Informatics at the Pennsylvania State University (PSU). He serves on the faculties of Computer Science and Engineering, Informatics, Bioinformatics and Genomics, and Neuroscience graduate programs and the Data Sciences undergraduate program at PSU, and on the executive committee of the Northeast Big Data Hub. His research has resulted in foundational contributions in machine learning, causal inference, knowledge representation and inference, algorithmic abstractions and infrastructure for data-intensive computational discovery, and numerous applications in bioinformatics and health informatics. He received the Ph.D. degree from the University of Wisconsin-Madison, Madison, WI, USA, in 1990. He was the recipient of numerous awards and honors including the National Science Foundation Director’s Award for Superior Accomplishment. He is a Fellow of the American Association for the Advancement of Science (AAAS) and a Distinguished Member of the Association for Computing Machinery. Please visit http://faculty.ist.psu.edu/vhonavar for details. Contact him at email@example.com. Funding Information: This paper introduces The Virtual Data Col-laboratory (VDC), a project funded by the National Science Foundation (NSF) that aims at building such a cyberinfrastructure across Rutgers University (RU) in New Jersey and Penn State University (PSU) in Pennsylvania, with the potential to incorporate additional research institutions across the nation. The overarching goal of VDC is to transform shared data as a core modality for research and discovery. VDC is a federated data cyberinfras-tructure that is designed to drive data-intensive, interdisciplinary and collaborative research and enable data-driven science and engineering discoveries. VDC accomplishes this goal by providing seamless access to data Publisher Copyright: © 1999-2011 IEEE.
PY - 2020/5/1
Y1 - 2020/5/1
N2 - The Virtual Data Collaboratory is a federated data cyberinfrastructure designed to drive data-intensive, interdisciplinary, and collaborative research that will impact researchers, educators, and entrepreneurs across a broad range of disciplines and domains as well as institutional and geographic boundaries.
AB - The Virtual Data Collaboratory is a federated data cyberinfrastructure designed to drive data-intensive, interdisciplinary, and collaborative research that will impact researchers, educators, and entrepreneurs across a broad range of disciplines and domains as well as institutional and geographic boundaries.
UR - http://www.scopus.com/inward/record.url?scp=85064620695&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85064620695&partnerID=8YFLogxK
U2 - 10.1109/MCSE.2019.2908850
DO - 10.1109/MCSE.2019.2908850
M3 - Article
AN - SCOPUS:85064620695
VL - 22
SP - 79
EP - 92
JO - Computing in Science and Engineering
JF - Computing in Science and Engineering
SN - 1521-9615
IS - 3
M1 - 8686134