Optimizing Data Sharing in Transdisciplinary Research: Giving Credit Where Credit is Due

Session ID#: 27267

Session Description:
Research data are fundamental to the academic enterprise. The ability to address ‘grand-challenge’ questions requires efficient sharing of, and accessibility to, multidisciplinary data. Federal, funder, and publisher mandates increasingly require that data are made publicly available and many organizations provide guidelines on best data management practices. Yet data do not currently receive the same level of recognition as other research products. The primary vehicle for scholarly communication and credit remains the journal article, and the academic community still gauges the impact of scholarship primarily through article usage statistics.

This session will complement the panel session “Overcoming Barriers to Effective Data Sharing for Collaborative, Transdisciplinary Research”. Here we will more broadly explore factors surrounding data sharing and attribution; the impact of open data on career advancement; technical developments and infrastructure; data citation, credit and other best practices; and examples of how attribution facilitates or inhibits the use of transnational multidisciplinary data.
Primary Convener:  Amber E Budden, DataONE, Santa Barbara, CA, United States
Conveners:  Robert JOHN Samors1, Patricia Cruse2 and Carrie E. Seltzer1, (1)Belmont Forum e-Infrastructures and Data Management Project, Tucson, AZ, United States(2)DataCite, Berkeley, United States

Abstracts Submitted to this Session:

Robert S Chen1, Robert R Downs2, Joachim Schumacher1 and Annie Gerard1, (1)Columbia University, Center for International Earth Science Information Network, Palisades, NY, United States, (2)Center for International Earth Science Information Network, Palisades, NY, United States
Constanze Curdt1, Dirk Hoffmeister2, Georg Bareth2 and Ulrich Lang3, (1)University of Cologne, Institute of Geography, Regional Computing Centre (RRZK), Cologne, Germany, (2)University of Cologne, Institute of Geography, Cologne, Germany, (3)University of Cologne, Regional Computing Centre (RRZK), Chair of Computer Science, Cologne, Germany
Lauren M Showalter, National Academy of Sciences, Gulf Research Program, Washington, DC, United States
Amber E Budden1, Stephen Abrams2, John Chodacki2, Patricia Cruse3, Martin Fenner4, Matthew B. Jones5, Daniella Lowenberg6, Laura Rueda7 and Dave Vieglais8, (1)DataONE, Santa Barbara, CA, United States, (2)California Digital Library, Oakland, CA, United States, (3)DataCite, Berkeley, United States, (4)DataCite, San Francisco, CA, United States, (5)National Center for Ecological Analysis and Synthesis, Santa Barbara, CA, United States, (6)California Digital Library, Oakland, United States, (7)DataCite, Barcelona, Spain, (8)University of Kansas, Lawrence, KS, United States
Khishigbayar Jamiyansharav1, Melinda Laituri1, Maria Fernandez-Gimenez1, Steven R Fassnacht1, Niah B. H. Venable1, Arren Mendezona Allegretti1, Robin Reid1, Batkhishig Baival2, Chantsallkham Jamsranjav1, Tungalag Ulambayar1, Sophia Linn1 and Jay Angerer3, (1)Colorado State University, Fort Collins, CO, United States, (2)Nutag Action Research Institute, Ulaanbaatar, Mongolia, (3)Texas A&M University, College Station, TX, United States
Martina Stockhause and Michael Lautenschlager, DKRZ German Climate Computing Centre, Data Management, Hamburg, Germany
Erica Key, Belmont Forum, Paris, France, Robert JOHN Samors, Belmont Forum e-Infrastructures and Data Management Project, Tucson, AZ, United States, Carrie E. Seltzer, San Francisco, CA, United States and Barron Joseph Orr, University of Arizona, Tucson, AZ, United States
Kyle Copas and Donald Hobern, Organization Not Listed, Copenhagen, Denmark