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

doi:10.1145/3332186.3333162

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 proceeding › Conference 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 language	English (US)
Title of host publication	Proceedings of the Practice and Experience in Advanced Research Computing
Subtitle of host publication	Rise of the Machines (Learning), PEARC 2019
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450372275
DOIs	https://doi.org/10.1145/3332186.3333162
State	Published - Jul 28 2019
Event	2019 Conference on Practice and Experience in Advanced Research Computing: Rise of the Machines (Learning), PEARC 2019 - Chicago, United States Duration: Jul 28 2019 → Aug 1 2019

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	2019 Conference on Practice and Experience in Advanced Research Computing: Rise of the Machines (Learning), PEARC 2019
Country/Territory	United States
City	Chicago
Period	7/28/19 → 8/1/19

Bibliographical note

Publisher Copyright:
© 2019 Association for Computing Machinery.

Keywords

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

Publisher link

10.1145/3332186.3333162

Find It

Find It at U of M Libraries

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 Article 3333162 (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3332186.3333162

A comprehensive campus-based approach to address the opportunities and challenges posed by data intensive research. / Wilgenbusch, James C.; Bates, Carla; Johnston, Lisa et al.
Proceedings of the Practice and Experience in Advanced Research Computing: Rise of the Machines (Learning), PEARC 2019. Association for Computing Machinery, 2019. 3333162 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wilgenbusch, JC, Bates, C, Johnston, L, Baller, JA, 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, 2019 Conference on Practice and Experience in Advanced Research Computing: Rise of the Machines (Learning), PEARC 2019, Chicago, United States, 7/28/19. https://doi.org/10.1145/3332186.3333162

Wilgenbusch JC, Bates C, Johnston L, Baller JA, Bollig E, Neuhauser C. 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. Association for Computing Machinery. 2019. 3333162. (ACM International Conference Proceeding Series). doi: 10.1145/3332186.3333162

Wilgenbusch, James C. ; Bates, Carla ; Johnston, Lisa et al. / A comprehensive campus-based approach to address the opportunities and challenges posed by data intensive research. Proceedings of the Practice and Experience in Advanced Research Computing: Rise of the Machines (Learning), PEARC 2019. Association for Computing Machinery, 2019. (ACM International Conference Proceeding Series).

@inproceedings{1b33d2a2a81640c9aab9a89b5fa465ca,

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

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 = "ACM proceedings, Campus Planning, Data Intensive Research, Lessons Learned, Storage Systems, University Budgeting",

author = "Wilgenbusch, {James C.} and Carla Bates and Lisa Johnston and Baller, {Joshua A.} and Evan Bollig and Claudia Neuhauser",

note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 2019 Conference on Practice and Experience in Advanced Research Computing: Rise of the Machines (Learning), PEARC 2019 ; Conference date: 28-07-2019 Through 01-08-2019",

year = "2019",

month = jul,

day = "28",

doi = "10.1145/3332186.3333162",

language = "English (US)",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

booktitle = "Proceedings of the Practice and Experience in Advanced Research Computing",

}

TY - GEN

T1 - A comprehensive campus-based approach to address the opportunities and challenges posed by data intensive research

AU - Wilgenbusch, James C.

AU - Bates, Carla

AU - Johnston, Lisa

AU - Baller, Joshua A.

AU - Bollig, Evan

AU - Neuhauser, Claudia

PY - 2019/7/28

Y1 - 2019/7/28

N2 - 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.

AB - 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.

KW - ACM proceedings

KW - Campus Planning

KW - Data Intensive Research

KW - Lessons Learned

KW - Storage Systems

KW - University Budgeting

UR - http://www.scopus.com/inward/record.url?scp=85071052542&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85071052542&partnerID=8YFLogxK

U2 - 10.1145/3332186.3333162

DO - 10.1145/3332186.3333162

M3 - Conference contribution

AN - SCOPUS:85071052542

T3 - ACM International Conference Proceeding Series

BT - Proceedings of the Practice and Experience in Advanced Research Computing

PB - Association for Computing Machinery

T2 - 2019 Conference on Practice and Experience in Advanced Research Computing: Rise of the Machines (Learning), PEARC 2019

Y2 - 28 July 2019 through 1 August 2019

ER -

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

Publisher link

Find It

Other files and links

Fingerprint

Cite this