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2014 SSP 36th Annual Meeting

Concurrent 1E: The Continuum from Publishers to Data

Concurrent 1E: The Continuum from Publishers to Data Repositories: Models to Support Seamless Scholarship

Scholars increasingly produce and reuse published data resources. A variety of services have sprung up to meet the demands of publishing research data that very deliberately blur the distinctions between research databases and scholarly journals. These range from broad disciplinary data repositories that focus on data associated with journal articles, through data journals launched by publishers that provide a mechanism for research datasets to undergo specialized peer review. Along with the diversity of innovations come the usual questions. Which of these models are here to stay and which are transitional experiments? Will these outlets continue to serve a niche market or will they grow in importance? This session will highlight some of the models for publishing research that have emerged, explore the reasons behind which ones have been adopted by different societies and publishers, and consider how these models are likely to coexist, compete and evolve over the next decade.Moderator: Liz Ferguson, Wiley


Todd Vision, Dryad, University of North Carolina at Chapel Hill
Todd J. Vision is an Associate Professor of Biology at the University of North Carolina at Chapel Hill and the Associate Director for Informatics at the National Evolutionary Synthesis Center. His biological interests include the evolution of genomes and the use of computational methods for reasoning over heterogeneous and qualitative biological data. He is the director of the Dryad digital data repository (http:/datadryad.org), and on the leadership team of DataONE, an NSF-supported DataNet with a focus on the environmental sciences (http://dataone.org). His recent research in the field of data science is aimed at informing science policy and publication practice, in particular how to address the socio-technical barriers to the reuse of data derived from “small science” research.
Chris Biemesderfer, American Astronomical Society
Chris Biemesderfer directs the publishing program for the American Astronomical Society (AAS), which publishes the world’s leading journals in astrophysics research. In the past, Chris has served on SSP’s Education Committee, and presently he serves on PSP’s Journals Committee. Trained as an astronomer, Chris has long-standing interest in the dissemination of data for re-use and brings extensive experience and sensibility about digital publishing to the present interest in the academy about publication of data.
Laurie Goodman, GigaScience
Laurie Goodman, PhD, is the Editor-in-Chief for the international open-access open-data journal GigaScience, co-published by BGI and BioMed Central. Dr. Goodman received her BS and MS from Stanford University in 1986, and PhD in Biochemistry and Molecular Biology from the University of Chicago in 1991. During her graduate work, she published a novel, A Spell of Deceit, with Del Rey Books. She completed a postdoctoral fellowship at the University of Colorado at Boulder then left the bench in 1995 to work as Assistant Editor at Nature Genetics. In 1997, she moved to Cold Spring Harbor Laboratory Press to serve as the Executive Editor of Genome Research and Managing Editor of Learning & Memory. In 2006, she started her own company, Goodman Writing & Editing, which provides a variety of services including manuscript writing seminars and high-level editing of scientific manuscripts, with a specialty in editing manuscripts from non-native English speakers.
Susanna Sansone, Nature Publishing Group & University of Oxford
Susanna is Associate Director at the University of Oxford e-Research Centre and a consultant for Scientific Data, the new open access data publication platform by Nature Publishing Group. As Principal Investigator at the Centre, her activities are around and in support of data curation, management and publication and their pivotal roles in enabling reproducible research, driving science and discoveries. She focuses on life science, environmental and biomedical domains, collaborating with data producers and service providers, and pre-competitive informatics initiatives, journals and funding agencies to develop software and promote the creation and uptake of community-developed ontology and standards. Susanna is a founding and/or on the Board of several international grass-root standards, advocacy groups and non-for-profit efforts, including the Research Data Alliance (Technical Advisory Board), Data Dryad (Board of Directors) and ELIXIR UK Node.
Merce Crosas, Harvard University
Merce Crosas, Ph.D., is the Director of Data Science at the Institute for Quantitative Social Science (IQSS) at Harvard University. Her group includes the Dataverse Network project, data acquisition and curation, the Murray Research Archive, statistical programming (Zelig and related R statistical packages), and the Consilience project on text analysis. She is affiliated with the Seamless Astronomy group and currently collaborating with a Sloan funded project to persistently link journals to data, and NSF funded projects to develop data privacy tools and data sociometric tools, and visualize geospatial data by connecting Dataverse and WorldMap. Before joining IQSS, Crosas worked in the educational software and biotech industries. Prior to that, she was at the Harvard-Smithsonian Center for Astrophysics, first completing work for her Ph.D. in Astrophysics from Rice University, and later as a researcher and software engineer. Crosas also earned a B.S. in Physics from the Universitat de Barcelona, Spain.