A comprehensive campus-based approach to address the opportunities and challenges posed by data intensive research

James C. Wilgenbusch, Carla Bates, Lisa Johnston, Joshua A. Baller, Evan Bollig, Claudia Neuhauser

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Faced with escalating expenses related to data storage needs and a capable set of on campus storage service providers, the University of Minnesota (UMN) developed a comprehensive framework to better address current and emerging challenges and opportunities brought by data intensive research. Elements of this framework and the process used to develop it could be applied at other research institutions to advance their efforts to address the challenges they face supporting data intensive science. While approaches may differ slightly, addressing these challenges within our respective universities is critical, and perhaps a prerequisite to building and sustaining partnerships among providers of advanced research computing and fully realizing the value of our data.

Original languageEnglish (US)
Title of host publicationProceedings of the Practice and Experience in Advanced Research Computing
Subtitle of host publicationRise of the Machines (Learning), PEARC 2019
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450372275
DOIs
StatePublished - Jul 28 2019
Event2019 Conference on Practice and Experience in Advanced Research Computing: Rise of the Machines (Learning), PEARC 2019 - Chicago, United States
Duration: Jul 28 2019Aug 1 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2019 Conference on Practice and Experience in Advanced Research Computing: Rise of the Machines (Learning), PEARC 2019
CountryUnited States
CityChicago
Period7/28/198/1/19

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Keywords

  • ACM proceedings
  • Campus Planning
  • Data Intensive Research
  • Lessons Learned
  • Storage Systems
  • University Budgeting

Cite this

Wilgenbusch, J. C., Bates, C., Johnston, L., Baller, J. A., Bollig, E., & Neuhauser, C. (2019). A comprehensive campus-based approach to address the opportunities and challenges posed by data intensive research. In Proceedings of the Practice and Experience in Advanced Research Computing: Rise of the Machines (Learning), PEARC 2019 [3333162] (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3332186.3333162