Fishing for the future: exploring the potential of industry ... - Seafish

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The New Zealand Seafood Industry Magazine Ltd One way to think of fisheries science is that it's like a machine that runs on data. All you have to do is plug lots of good quality data into one end and you'll get good, reliable answers out other. Simple right? Not really. If you want your fisheries science to be useful you have to first make sure you're asking the right questions. Then you've got to have enough data to work with - bearing in mind that not all data are created equal. Once you've got that right you need a good way to evaluate your answers so that when you ask the question ‘how many fish can I take out of the water?' you get results you can use. All of this has to be achieved away from the ordered cleanliness of a laboratory in the real world of budget constraints, time restrictions, and pressures for answers. That's one of the reasons it was such a big deal when, in 2009, scientists from around the world rated New Zealand as the best in the world at fisheries management - it's hard. supporting the seafood industry for a sustainable, profitable future
A short history of industry-generated data • errr – actually a very long history • landings, discards & other observations • problematic, with intellectual & structural disconnects • issues of scale, precision, accuracy, format supporting the seafood industry for a sustainable, profitable future
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