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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

Producción científica: Conference contribution › revisión exhaustiva

3 Citas (Scopus)

Resumen

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.

Idioma originalEnglish
Título de la publicación alojadaPEARC 2020 - Practice and Experience in Advanced Research Computing 2020
Subtítulo de la publicación alojadaCatch the Wave
Páginas393-401
Número de páginas9
ISBN (versión digital)9781450366892
DOI
EstadoPublished - jul 26 2020
Evento2020 Conference on Practice and Experience in Advanced Research Computing: Catch the Wave, PEARC 2020 - Virtual, Online, United States
Duración: jul 27 2020 → jul 31 2020

Serie de la publicación

NombreACM International Conference Proceeding Series

Conference

Conference2020 Conference on Practice and Experience in Advanced Research Computing: Catch the Wave, PEARC 2020
País/TerritorioUnited States
CiudadVirtual, Online
Período7/27/20 → 7/31/20

Nota bibliográfica

Publisher Copyright:
© 2020 ACM.

Financiación

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.

FinanciadoresNúmero del financiador
National Science Foundation Arctic Social Science Program1620695

    ASJC Scopus subject areas

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

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