Browsing by Subject "Cyberinfrastructure"

Now showing 1 - 3 of 3
  • Thumbnail Image
    Item
    FAIR Data for Large Research Facilities
    (IEEE Explore, 2023) Brower, Don; Butcher, David; Murillo, Angela P.
    This workshop will bring together data managers, repository managers, administrators, and others who are responsible for, or interested in research data management at large research facilities. These facilities have unique issues due to a variety of factors, such as an extreme data volume, variety, and velocity. The workshop aims to provide cross-pollination between facilities that have similar desires to realize the FAIR principles. The organizers of this workshop are members of the NSF CI Compass FAIR Data Working Group, and the outcomes from these discussions will become a white paper and topics for future CI Compass webinars.
  • No Thumbnail Available
    Item
    Meeting the NSF Data Management Plan Requirement, IFRA 2012
    (2013-01-28) Coates, Heather L.
    This invited presentation was given at the 2012 Indiana Forum for Research Administrators. It covers the various issues related to the NSF Data Management Plan Requirement and highlights the role of data in digital preservation, scholarly communication, and the responsible conduct of research and research ethics. In addition, services and resources provided by the IUPUI University Library in support of the NSF requirement are introduced.
  • Thumbnail Image
    Item
    Preparing Students for Managing Large-Scale Scientific Data
    (University of Illinois at Urbana-Champaign Library, 2022) Murillo, Angela; Library and Information Science, Luddy School of Informatics, Computing, and Engineering
    This poster presents preliminary observations and feedback from the pilot year of a student internship program that was created to prepare and train students in managing large-scale scientific data. This student internship program is part of the CI Compass project, which is a National Science Foundation (NSF) funded project to provide support and enhance the data lifecycles of NSF Major Facilities (MFs). MFs are the largest-scale scientific efforts that the NSF supports and can take years to build, cost hundreds of millions of dollars to construct, are highly diverse, have heterogeneous data, and a wide range of cyberinfrastructure for capturing, processing, archiving, and disseminating data. MFs span science domains, including astronomy, climate, ecology, natural hazard, ocean science, physics, and seismology. This poster describes the technical curriculum, research program, project-based learning experiences, and future goals.