TY - GEN
T1 - Fostering Collaboration among Organizations in the Research Computing and Data Ecosystem
AU - Broude Geva, Sharon
AU - Brunson, Dana
AU - Cheatham, Thomas
AU - Deaton, James
AU - Griffioen, James
AU - Hillegas, Curtis W.
AU - Jennewein, Douglas M.
AU - Krovitz, Gail
AU - Magle, Tobin
AU - Schmitz, Patrick
AU - Tomko, Karen
AU - Wilgenbusch, James C.
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/7/26
Y1 - 2020/7/26
N2 - 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.
AB - 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.
KW - community
KW - cyberinfrastructure
KW - ecosystem
KW - people
KW - research IT
KW - research computing
KW - research data management
UR - http://www.scopus.com/inward/record.url?scp=85089277507&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85089277507&partnerID=8YFLogxK
U2 - 10.1145/3311790.3396645
DO - 10.1145/3311790.3396645
M3 - Conference contribution
AN - SCOPUS:85089277507
T3 - ACM International Conference Proceeding Series
SP - 393
EP - 401
BT - PEARC 2020 - Practice and Experience in Advanced Research Computing 2020
PB - Association for Computing Machinery
T2 - 2020 Conference on Practice and Experience in Advanced Research Computing: Catch the Wave, PEARC 2020
Y2 - 27 July 2020 through 31 July 2020
ER -