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Some Lessons from FishBase

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... key-information on 200 commercial fish species. Use it for research ... Aquarium Fishes which may Establish themselves in Hawaii (6 of 111) More Applications ... – PowerPoint PPT presentation

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Title: Some Lessons from FishBase


1
Some LessonsfromFishBase
Rainer Froese Germany rfroese_at_ifm-geomar.de
2
The Vision
  • Back in 1987, two scientists had an idea
  • Create a database with key-information on 200
    commercial fish species
  • Use it for research
  • Make it available to 500 fisheries managers in
    developing countries
  • 19 years later
  • www.fishbase.org contains information on 29,382
    species
  • Has over 1,000 citations in the scientific
    literature
  • Has about 2 million visitors per month in the
    Internet

3
If these stocks were Stocks
4
The Race to 100 Million
2008
5
It Looks Like This
6
And This
7
Where is the Science?
8
Who is Using it?
9
Where?
10
What?
11
About 10,000 visitors per month
12
Where is the Science?85 ISI Citations, 3 in
Nature, 2 in Science (June 2002)
IT
June 2002
13
Google Scholar, April 2006 1610 citations,
including 5 in Nature and 7 in Science
14
Link-Analysis
15
What Else can FishBase Do? Invasive
Species
Aquarium Fishes which may Establish themselves in
Hawaii (6 of 111)
16
More Applications Trends in Global Catches
(Froese and Pauly 2003)
17
19/32
18
Fish Rulers
19
Under The Hood
Under the Hood
  • FishBase Structure

20
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21
Design Principles
Under the Hood
  • Do not over-normalize
  • Avoid (hide) codes
  • Dedicated fields vs free-text fields
  • Science and Data first approach
  • Transparency (reference, entered, modified, date)
  • Strategic decisions about data (comparative
    advantage, importance, future maintenance)

22
Under The Hood
Evolve or Go Extinct
  • From DataEase to MS Access to MySQL to ???
  • From HTML to Cold Fusion to PHP to ???
  • 6 mirrors around the world, not enough
  • www.ZoneEdit.com for load-balancing, maybe not
    sufficient

23
General Principles
Spirit
  • Keep it simple
  • Yes-Attitude
  • Be opportunistic
  • Give more credit than was expected
  • Deal with errors
  • Expose data
  • Invite, accept and act on criticism
  • Compare data
  • Use your data

24
Business Model
  • Champion Rainer Froese
  • Key supporters Daniel Pauly Cornelia Nauen
  • Institutions
  • ICLARM
  • Since 2000 FishBase Consortium
  • Donors
  • European Commission
  • Sloan, Germany
  • Pew, USGS, NRDC, Taiwan, Australia,

25
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26
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27
Operating Mode
  • Strong leadership by one person
  • Lose oversight by Consortium
  • Full-time data entry by team of specialists
    full-time programmers
  • Large network of additional contributors (mostly
    photos corrections)

28
Future Plans
Future Plans
  • Complete coverage and content
  • Improve mapping
  • Add more analytical tools
  • Move to mobile devices
  • Do FishBase for all aquatic species

29
Greetings from the FishBase Team
30
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31
Thanks to our Partners and Sponsors
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