Fostering Collaboration among Organizations in the Research Computing and Data Ecosystem

Sharon Broude Geva, Dana Brunson, Thomas Cheatham, James Deaton, James Griffioen, Curtis W. Hillegas, Douglas M. Jennewein, Gail Krovitz, Tobin Magle, Patrick Schmitz, Karen Tomko, James C. Wilgenbusch

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The widespread application and success of computational and data intensive research approaches in every discipline represented on our campuses has resulted in a rapid proliferation of organizations, technologies, and professions affiliated in different ways with the support and advancement of activities related to research computing and data (RCD). While most agree that this growth is helping to advance numerous disciplines, the proliferation of organizations seeking to support, promote, and advance RCD has led to some challenges. Specifically, a lack of understanding and consensus concerning which organizations should be considered a part of RCD support hampers our ability to encourage collaborations among its complementary constituents, leads to unneeded and redundant activities, and makes it difficult to identify strategic priorities and address gaps where specific needs are not being met to advance various disciplinary activities. In this paper we introduce the ecosystem metaphor to help characterize the rapidly changing relationships among the growing set of organizations that in some way support and enable activities related to RCD. The ecosystem concept lends itself well to describing the many entities related to RCD because it emphasizes the larger system over its individual component parts and highlights their interdependence, while explicitly expecting their change over time. Our work to characterize the current RCD ecosystem, while imperfect, will serve as a foundation and framework for the development of a more complete view of the ever-changing RCD ecosystem. A more complete view of the RCD ecosystem will in turn help to advance the broad goals of its members by helping to foster and accelerate new and meaningful collaborations among them.

Original languageEnglish
Title of host publicationPEARC 2020 - Practice and Experience in Advanced Research Computing 2020
Subtitle of host publicationCatch the Wave
Pages393-401
Number of pages9
ISBN (Electronic)9781450366892
DOIs
StatePublished - Jul 26 2020
Event2020 Conference on Practice and Experience in Advanced Research Computing: Catch the Wave, PEARC 2020 - Virtual, Online, United States
Duration: Jul 27 2020Jul 31 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2020 Conference on Practice and Experience in Advanced Research Computing: Catch the Wave, PEARC 2020
Country/TerritoryUnited States
CityVirtual, Online
Period7/27/207/31/20

Bibliographical note

Funding Information:
This work was partially supported by NSF grant 1620695 (“RCN: Advancing Research and Education Through a National Network of Campus Research Computing Infrastructures – The CaRC Consortium”). This work was enabled by the contributions of time and expertise from the April 2019 workshop participants and the CaRCC Ecosystem working group members: Amy Neeser, Barr von Oehsen, Bob Freeman, Cliff Lynch, Curt Hillegas, Damian Clarke, Dana Brun-son, Douglas Jennewein, Erica Johns, Gail Krovitz, James Deaton, Jim Griffioen, James Wilgenbusch, Jennifer Schopf, Jim Bottum, Joel Cuther-Gershenfeld, John Goodhue, John Towns, Karen Tomko, Karen Wetzel, Kate Cahill, Lauren Michael, Lawrence Landweber, Marisa Brazil, Mary Lee Kennedy, Neil Bright, Patrick Schmitz, Robert McDonald, Sharon Broude Geva, Stephen Harrell, Susan Mehringer, Thomas Cheatham, and Toni Collis; and the Coalition for Networked Information who hosted the workshop.

Publisher Copyright:
© 2020 ACM.

Keywords

  • community
  • cyberinfrastructure
  • ecosystem
  • people
  • research IT
  • research computing
  • research data management

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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