Data Sharing and Accessibility

Transcription

1 Data Sharing and Accessibility Bill Michener, University of New Mexico More than a Collection: Applied Uses of Supplemental Data CSE Annual Conference May 2-5, 1014, San Antonio, TX An archiving crisis? What happens to the data underlying the millions of articles published every year? 2 Data entropy Time of publication Specific details General details Information Content Accident Retirement or career change Death Time (Michener et al. 1997) 3 1

2 80% of biology data is irretrievable after 20 years Vines TH et al. (2013) Current Biology DOI: /j.cub Who cares if data are lost? James Cook, portrait by Nathaniel Dance-Holland, c. 1775, National Maritime Museum, Greenwich By Agrant141 (Own work) [CC-BY-SA-3.0 ( via Wikimedia Commons 5 Stakeholder perspectives Where are the data? How can they be more easily discovered, integrated and analyzed? Steve Aulenbach, Scientist 1, USGCRP How do I manage and analyze 60+ years of Lake science? Baikal data? Reproducible science? How can I help researchers better manage and share their data? Kara Woo, Researcher 2 Washington State Univ. Carly Strasser, Librarian 3 University of California 1 University Corporation for Atmospheric Research, US Global Change Research Program: Curation, analysis, and synthesis of global change data 2 NSF Dimensions of Biodiversity: Lake Baikal responses to global change: the role of genetic, functional and taxonomic diversity in the plankton. 3 Data Curation Specialist implementing many of the UC Curation Center's services, including the DMPTooland DataShare 6 2

3 The Road Ahead 7 Journals, publishers, and societies make a difference! Joint Data Archiving Policy ( JDAP ) Data are important products of the scientific enterprise, and they should be preservedand usablefor decades in the future. As a condition for publication, data supporting the results in the article should be deposited in an appropriate public archive. Authors may elect to embargoaccess to the data for a period up to a year after publication. Exceptionsmay be granted at the discretion of the editor, especially for sensitive information

4 Dryad process 10 Dryad impact Materials and Methods References Dryad uptake >5,000data packages containing >16,000 files associated with articles in 300 journals >200 submissions each month >50,000 downloads each month; some data packages have been downloaded more than 10,000 times Fewer than 10% of authors chose to embargo their data when this option is allowed by the journal 12 4

5 Why use Dryad rather than Supplementary Online Materials? Dryad Discoverable: indexed and exposed to both web and bibliographic search engines Identifiable: DataCite DOIs within articles serve as permanent, resolvable identifiers * SOM Permanent: processes in place to promote preservation (incl. format migration) / ** Curated: quality control by both automated processes and human inspection * Ease of deposit: streamlined deposit, allowance for large and complex datasets / ** Formatted for reuse: support for non-pdf file formats / ** Updatable: new versions of data files can be added, metadata can be enhanced Support for embargoes: can delay release of data in accordance with journal policy Free reuse: no paywall, clear terms of reuse (all data released under CC Zero) / ** Economy of scale: cost efficiency from shared infrastructure / ** Alignment to organizational mission: focus on archiving and reuse of scientific data * A few publisher SOM sites are exceptions to the general rule ** Practices differ among publishers, see Smit (2011), doi: /january2011-smit DataDryad.org 13 Sponsoring open data 24 organizations sponsor data deposits in >60 journals American Genetic Association German National Library of Medicine American Society of Naturalists Nature Publishing Group American Society of Plant Biologists Pensoft American Society of Plant Taxonomists Society for the Study of Evolution BMJ Publishing Group Society of SystematicBiologists Botanical Society of America The Genetics Society British Ecological Society The PalaeontologicalAssociation Canadian Healthy Ocens Network CHONe The PaleontologicalSociety Ecological Society of America The Royal Society Elementa: Science of the Anthropocene Universityof Rochester elife US Fish and Wildlife Service European Society for Evolutionary Biology Wiley 14 Flood of data and repositories 15 5

6 DataONE: Federating data discovery Three major components for a flexible, scalable, sustainable network Coordinating Nodes retain complete metadata catalog indexing for search network-wide services ensure content availability (preservation) replication services 16 DataONE: Federating data discovery Three major components for a flexible, scalable, sustainable network Coordinating Nodes Member retain complete Nodes metadata diverse catalog institutions indexing serve local for community search network-wide provide resources services for ensure managing content their data availability retain (preservation) copies of data replication services 17 DataONE: Federating data discovery Three major components for a flexible, scalable, sustainable network Coordinating Nodes Member retain complete Nodes metadata catalog Investigator diverse institutions indexing for Toolkit serve local community search network-wide provide resources services for ensure managing content their data availability retain (preservation) copies of data replication services 18 6

7 DataONE: Enabling science through tools and services Plan Analyze Collect Integrate Assure Discover Describe Preserve 19 DataONE vision From Reichman, Jones, and Schildhauer; doi: /science DataONE solutions Education Semantics-enabled discovery service Data services Provenance services From Reichman, Jones, and Schildhauer; doi: /science

8 Impact on the Community 22 Challenge: Using historical data to understand and conserve North American birds ebird Bird observations and environmental data from > 350,000 locations in US integrated and analyzed using High Performance Computing Resources Model results Occurrence of Indigo Bunting (2008) Land Cover Meteorology MODIS Remote sensing data Spatio-Temporal Exploratory Models predict the probability of occurrence of bird species across the United States at a 3 km x 3 km grid. Jan Apr Jun Sep Dec Potential Uses- Examine patterns of migration Infer impacts of climate change Measure patterns of habitat use Measure population trends 23 Results: Full Life-cycle Distribution Estimates for 300+ Species of North American Birds 8

9 Impact: new conservation approaches on public and private lands 25 DataONE Team and Sponsors Amber Budden, Roger Dahl, Rebecca Koskela, Bill Michener, Robert Nahf, Skye Roseboom, Mark Servilla Dave Vieglais Suzie Allard, Kimberly Douglass, Laura Moyers, Carol Tenopir, Robert Waltz, Bruce Wilson John Cobb, Bob Cook, RanjeetDevarakonda, GiriPalanismy, Line Pouchard Patricia Cruse, John Kunze Sky Bristol, Mike Frame, Richard Huffine, Viv Hutchison, Jeff Morisette, Jake Weltzin, Lisa Zolly Stephanie Hampton, Chris Jones, Matt Jones, Ben Leinfelder, Andrew Pippin, Mark Schildhauer, Jing Tao Paul Allen, Rick Bonney, Steve Kelling Jane Greenberg, Ryan Scherle, Todd Vision Randy Butler Paolo Missier EwaDeelman Deborah McGuinness Jeff Horsburgh Robert Sandusky Bertram Ludaescher Peter Honeyman Cliff Duke Carole Goble Donald Hobern David DeRoure LEON LEVY FOUNDATION 26 Visit DataONE.org Datadryad.org 27 9