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Enabling long-term oceanographic research : changing data practices, information management strategies and informatics
Authors
Abbott
Ackoff
+62 more
Arzberger
Baker
Baker
Baker
Benson
Bijker
Buesseler
Chandler
Cook
Cornillon
Cornillon
Cynthia L. Chandler
Davenport
Doney
Ducklow
Fasham
Finholt
Franklin
Friedman
Glover
Glover
Gold
Gold
Golley
Goodchild
Gruber
Grudin
Hobbie
Jackson
Jackson
Jones
Jones
Karasti
Karen S. Baker
Khazanchi
Kling
Kling
Lave
Lynch
Lyytinen
Michener
Nardi
Ouksel
Poore
Ribes
Sandusky
Schmidt
Schon
Schuler
Sheth
Simmhan
Smith
Smith
Spanner
Star
Star
Strebel
Veltman
Waltner-Toews
Weick
Weick
Whitman
Publication date
26 March 2008
Publisher
'Elsevier BV'
Doi
Cite
Abstract
Author Posting. © Elsevier B.V., 2008. This is the author's version of the work. It is posted here by permission of Elsevier B.V. for personal use, not for redistribution. The definitive version was published in Deep Sea Research Part II: Topical Studies in Oceanography 55 (2008): 2132-2142, doi:10.1016/j.dsr2.2008.05.009.Interdisciplinary global ocean science requires new ways of thinking about data and data management. With new data policies and growing technological capabilities, datasets of increasing variety and complexity are being made available digitally and data management is coming to be recognized as an integral part of scientific research. To meet the changing expectations of scientists collecting data and of data reuse by others, collaborative strategies involving diverse teams of information professionals are developing. These changes are stimulating the growth of information infrastructures that support multi-scale sampling, data repositories, and data integration. Two examples of oceanographic projects incorporating data management in partnership with science programs are discussed: the Palmer Station Long-Term Ecological Research program (Palmer LTER) and the United States Joint Global Ocean Flux Study (US JGOFS). Lessons learned from a decade of data management within these communities provide an experience base from which to develop information management strategies – short-term and long-term. Ocean Informatics provides one example of a conceptual framework for managing the complexities inherent to sharing oceanographic data. Elements are introduced that address the economies-of-scale and the complexities-of-scale pertinent to a broader vision of information management and scientific research.Support is provided by NSF OPP-0217282, OCE-0405069, HSD-0433369 and Scripps Institution of Oceanography (K.S.Baker) and by NSF OCE-8814310, OCE-0097291, OCE- 0510046 and OCE-0646353 (C.Chandler)
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