Receiving Credit Where Credit is Due: Overcoming Barriers to Effective Data Sharing for Collaborative, Transdisciplinary Research

Panel Format Session: This session has been selected by the Program Committee to be an official panel. Panelists will be invited authors designated by the conveners. Learn more

Session ID#: 25902

Session Description:
Addressing global environmental challenges requires efficient sharing and wide availability of data and information to enhance reproducibility and trust in the results of transdisciplinary, stakeholder-driven science. Data sharing faces a range of challenges, including sociocultural influences surrounding attribution and credit; the impact of open data on career advancement; organizational frameworks and requirements by funding agencies; and technical and technological developments in computing resources and data metrics.

Co-convened by the Belmont Forum and the Make Data Count project, this session will explore various perspectives on data sharing, including open science best practices to accelerate data sharing, reproducibility, curation, and publishing; incentives and barriers to data sharing; supporting open data through training, funding and other mechanisms; citation, metrics and appropriate recognition of data objects; and how these issues facilitate or inhibit the use of transnational, multidisciplinary data to support decision- and policy-making in a data intensive world.
Primary Convener:  Barron Joseph Orr, University of Arizona, Tucson, AZ, United States; Belmont Forum e-Infrastructures and Data Management Project, Tucson, AZ, United States
Conveners:  R J Gurney, University of Reading, Reading, United Kingdom, Amber E Budden, DataONE, Santa Barbara, CA, United States and Patricia Cruse, DataCite, Berkeley, United States

  • A - Atmospheric Sciences
  • B - Biogeosciences
  • GC - Global Environmental Change
  • SI - Societal Impacts and Policy Sciences

Abstracts Submitted to this Session:

Sarah Callaghan, Organization Not Listed, Washington, DC, United States
Sanna Sorvari, Finnish Meteorological Institute, Helsinki, Finland, Ari Asmi, University of Helsinki, Helsinki, Finland, Werner Leo Kutsch, ICOS ERIC, Headoffice, Helsinki, Finland and Paolo Laj, Université Grenoble-Alpes, CNRS, LGGE, Grenoble, France
Maria E Uhle, National Science Foundation, Alexandria, VA, United States
Andrea Wiggins, University of Nebraska at Omaha, Omaha, NE, United States
Colleen Strawhacker, National Snow and Ice Data Center, Boulder, CO, United States
Matthew B. Jones1, Dave Vieglais2, Patricia Cruse3, John Chodacki4, Amber E Budden5, Martin Fenner6, Daniella Lowenberg7 and Stephen Abrams4, (1)University of California Santa Barbara, Santa Barbara, CA, United States, (2)University of Kansas, Lawrence, KS, United States, (3)DataCite, Berkeley, United States, (4)California Digital Library, Oakland, CA, United States, (5)DataONE, Santa Barbara, CA, United States, (6)DataCite, San Francisco, CA, United States, (7)California Digital Library, Oakland, United States
Geoffrey Bilder, Crossref, Oxford, United Kingdom
Peter Arthur Fox, Rensselaer Polytechnic Institute, Troy, NY, United States