DataONE: Enabling Data-Intensive Biological and Environmental Research through Cyberinfrastructure
Robert
Cook, Oak Ridge National Laboratory, cookrb@ornl.gov
(Presenting)
William
Michener, University of New Mexico, wmichene@unm.edu
Michael
Frame, USGS, mike_frame@usgs.gov
Stephanie
Hampton, University of California, Santa Barbara, hampton@nceas.ucsb.edu
Todd
Vision, University of North Carolina, tjv@bio.unc.edu
Suzanne
Allard, University of Tennessee, sallard@utk.edu
Paul
Allen, Cornell Lab of Ornithology, paul.e.allen@cornell.edu
Peter
Buneman, University of Edinburgh, peter@cis.upenn.edu
Randy
Bultler, National Center for Supercomputing Applications, rbutler@ncsa.uiuc.edu
John
Cobb, Oak Ridge National Laboratory, cobbjw@ornl.gov
Patricia
Cruse, California Digial Library, patricia.cruse@ucop.edu
David
De Roure, University of South Hampton, dder@ecs.soton.ac.uk
Ewe
Deelman, University of Southern California, deelman@isi.edu
Cliff
Duke, Ecological Society of America, csduke@esa.org
Carole
Goble, University of Manchester, carole.goble@manchester.ac.uk
Donald
Hobern, CSIRO, donald.hobern@csiro.au
Peter
Honeyman, University of Michigan, honey@citi.umich.edu
Viv
Hutchison, USGS, vhutchison@usgs.gov
John
Horsburgh, Utah State University, jeff.horsburgh@usu.edu
Matt
Jones, University of California, Santa Barbara, jones@nceas.ucsb.edu
Steve
Kelling, Cornell Lab of Ornithology, stk2@cornell.edu
John
Kunze, California Digital Curation Center, jak@ucop.edu
Bertram
Ludaescher, University of California, ludaesch@ucdavis.edu
Mary Beth
Manoff, University of Tennessee, mmanoff@utk.edu
Line
Pouchard, Oak Ridge National Laboratory, pouchardlc@ornl.gov
Robert
Sandusky, University of Illinois at Chicago, sandusky@uic.edu
Ryan
Scherle, Duke University, rscherle@nescent.org
Mark
Servilla, University of New Mexico, servilla@lternet.edu
Carol
Tenopir, University of Tennessee, ctenopir@utk.edu
Dave
Vieglais, Kansas University, vieglais@ku.edu
Jake
Weltzin, USGS, jweltzin@usgs.gov
Bruce
Wilson, Oak Ridge National Laboratory, wilsonbe@ornl.gov
Addressing the Earth's environmental problems requires that we change the ways that we do science; harness the enormity of existing data; develop new methods to combine, analyze, and visualize diverse data resources; create new, long-lasting cyberinfrastructure; and re-envision many of our longstanding institutions. DataONE (Observation Network for Earth) represents a new virtual organization whose goal is to enable new science and knowledge creation through universal access to data about life on earth and the environment that sustains it. DataONE is designed to be the foundation for new innovative environmental science through a distributed framework and sustainable cyberinfrastructure that meets the needs of science and society for open, persistent, robust, and secure access to well-described and easily discovered Earth observational data.
Supported by the U.S. National Science Foundation, DataONE will ensure the preservation and access to multi-scale, multi-discipline, and multi-national science data. DataONE is transdisciplinary, making biological data available from the genome to the ecosystem; making environmental data available from atmospheric, ecological, hydrological, and oceanographic sources; providing secure and long-term preservation and access; and engaging scientists, land-managers, policy makers, students, educators, and the public through logical access and intuitive visualizations. Most importantly, DataONE will serve a broader range of science domains both directly and through the interoperability with the DataONE distributed network.
Presentation Type: Poster
Poster Session: Data Records and Systems
NASA TE Funded Awards Represented:
NONE: Related Activity or Previously Funded TE Award