A Comprehensive Campus-based Approach to Address the Opportunities and Challenges Posed by Data Intensive Research
2019
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
A Comprehensive Campus-based Approach to Address the Opportunities and Challenges Posed by Data Intensive Research
Published Date
2019
Publisher
Association for Computing Machinery
Type
Presentation
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.
Keywords
Description
Poster presented at PEARC '19: Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), July 2019.
Related to
Replaces
License
Series/Report Number
Funding information
Isbn identifier
Doi identifier
Previously Published Citation
PEARC '19: Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning) July 2019 Article No.: 89 Pages 1–3 https://doi.org/10.1145/3332186.3333162.
Suggested citation
Wilgenbusch, James C; Baller, Joshua A; Bates, Carla; Bollig, Evan; Johnston, Lisa R; Neuhauser, Claudia. (2019). A Comprehensive Campus-based Approach to Address the Opportunities and Challenges Posed by Data Intensive Research. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/211516.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.