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On losing and recovering fisheries and marine science data

Author

Listed:
  • Zeller, Dirk
  • Froese, Rainer
  • Pauly, Daniel

Abstract

Large sums are spent annually collecting and, increasingly, electronically encoding field data, making them widely accessible. Earlier data were recorded on paper, and archived at a few institutions, which eventually discard them. Data recovery and distribution is a valuable contribution to science, as it counters the 'shifting baseline' syndrome and ensures long-term returns on funds society invested in data gathering. Data recovery need not be expensive. We present the data recovery from the Guinean Trawling Survey, conducted in the early 1960s off West Africa, which cost 0.2% of initial survey costs. Research and graduate training institutions, as well as funding agencies should make digital data globally available as part of their deliverables.

Suggested Citation

  • Zeller, Dirk & Froese, Rainer & Pauly, Daniel, 2005. "On losing and recovering fisheries and marine science data," Marine Policy, Elsevier, vol. 29(1), pages 69-73, January.
  • Handle: RePEc:eee:marpol:v:29:y:2005:i:1:p:69-73
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    Cited by:

    1. Coro, Gianpaolo & Magliozzi, Chiara & Vanden Berghe, Edward & Bailly, Nicolas & Ellenbroek, Anton & Pagano, Pasquale, 2016. "Estimating absence locations of marine species from data of scientific surveys in OBIS," Ecological Modelling, Elsevier, vol. 323(C), pages 61-76.
    2. Colléter, Mathieu & Valls, Audrey & Guitton, Jérôme & Gascuel, Didier & Pauly, Daniel & Christensen, Villy, 2015. "Global overview of the applications of the Ecopath with Ecosim modeling approach using the EcoBase models repository," Ecological Modelling, Elsevier, vol. 302(C), pages 42-53.
    3. James L Anderson & Christopher M Anderson & Jingjie Chu & Jennifer Meredith & Frank Asche & Gil Sylvia & Martin D Smith & Dessy Anggraeni & Robert Arthur & Atle Guttormsen & Jessica K McCluney & Tim W, 2015. "The Fishery Performance Indicators: A Management Tool for Triple Bottom Line Outcomes," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-20, May.

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