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Africa Aquaculture Statistics: Good Data, Bad Data, Whose Data?

Africa Aquaculture Statistics: Good Data, Bad Data, Whose Data?. Emmanuel A. Frimpong Associate Professor of Fisheries Science Virginia Tech. Outdated data- http://www.fao.org/fishery/countrysector/naso_ghana/en. Suspicious data. The peer review gauntlet. An attitude about academia.

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Africa Aquaculture Statistics: Good Data, Bad Data, Whose Data?

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  1. Africa Aquaculture Statistics: Good Data, Bad Data, Whose Data? Emmanuel A. Frimpong Associate Professor of Fisheries Science Virginia Tech

  2. Outdated data- http://www.fao.org/fishery/countrysector/naso_ghana/en

  3. Suspicious data

  4. The peer review gauntlet

  5. An attitude about academia

  6. Non-publishing or publishing weak science

  7. A case of confinement?

  8. Territoriality (Fish behavior)

  9. Data non-sharing and complaints about duplication of effort

  10. What could be done about data shortcomings?

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