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CHALLENGES IN ROUTINE DATA COLLECTION IN MARINE FISHERIES -GHANA TRAINING IN OPEN ARTFISH

CHALLENGES IN ROUTINE DATA COLLECTION IN MARINE FISHERIES -GHANA TRAINING IN OPEN ARTFISH. The fisheries sector of the economy strives on knowledge of the resource base be it resource aspects, economics, markets, Technology, social environment etc.

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CHALLENGES IN ROUTINE DATA COLLECTION IN MARINE FISHERIES -GHANA TRAINING IN OPEN ARTFISH

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  1. CHALLENGES IN ROUTINE DATA COLLECTION IN MARINE FISHERIES -GHANATRAINING IN OPEN ARTFISH MFRD

  2. The fisheries sector of the economy strives on knowledge of the resource base be it resource aspects, economics, markets, Technology, social environment etc All theses involve the collection of data in a unified and systematic way for an expected end.

  3. Fisheries statistics data collection- : refers to basically: • Catch by species, • Fishing effort, (ie number of boats, trips fishermen etc) • Prices and Value of fish, • Number of ports and landing sites, • Type and numbers of fishing units by gear category. • Biological parameters- length/weight etc MFRD

  4. MFRD

  5. 1 Role of field staff • The backbone of any fishery data collection /survey is the field team of data collectors and supervisors. • Training • Training of data collectors ought to take into consideration their capacity of carrying out their instructions MFRD

  6. Quality of collected data • Quality of produced statistics is a direct function of the effectiveness and timeliness of field operations involving data collectors and supervisors. MFRD

  7. Mobility of data collectors and supervisors • Mobility of data collectors affects the quantity of collected data .Low mobility due to lack of transportation means reduces statistical coverage and increases the risks of biased data, since data collection is always conducted at the same few locations. MFRD

  8. Mobility is also important for supervisory functions lack of which would leave data recorders on their own and without supervision and guidance. • Motivation • Data collectors and supervisors should be motivated for performing their work, and not only financially. They ought to have a precise idea as to the purpose and utility of their work and feel part of the team. MFRD

  9. Operational experience • Field staff should be given the opportunity to attend workshops and training courses concerning operational aspects of data collection, since their operational experience would contribute positively in survey planning and revisions to survey design. MFRD

  10. MFRD

  11. 2 Role of office staff • Monitoring • Organizing and reviewing primary data obtained from the field, including editing and data checking, and undertaking corrective actions where and when necessary. MFRD

  12. Computer operations • Operating computer-based procedures for the effective storage of primary data, derivation of estimates and preparation of working documents, statistical bulletins and yearbooks. • Data dissemination • Dissemination of processed data and resulting fishery statistics for use by other national, regional and international user groups. MFRD

  13. MFRD

  14. Strengths • Good knowledge of fishing systems • Easy adaptability of collecting systems • Excellent co-opearation of local fishermen/chief fishermen • Strong community spirit. • Potential for mobilisation due to large number of fishermen. • Experience about fish resources and harvesting techniques. MFRD

  15. 3 Frequent problems • Timing of field activities. • Few or no landings occur during the allocated time at a landing site. (Review site). • Recorders remain “idle” for long periods at a landing site. If feasible, better use should be made of their time. MFRD

  16. Selection of landing sites • Sites are not representative of all boat/gear types and for certain fisheries no samples can be collected. Sampling sites should be reviewed. • Concurrent use of fishing gear • In recording sample effort of a landing it may happen that a boat has operated different gears in one fishing trip. MFRD

  17. General problems/ challenges • Arithmetical errors .Precision and digit bias • Coverage errors • Insufficient field supervision • Editing errors • Coding /punching errors • Errors in processing (tiredness etc) MFRD

  18. CONCLUSION: • Quality of fisheries statistics produced depend, to a large extent, on the quality of catch data collected at sampling and landing sites. A balance between needs of field and office staff is essential in producing good statistics all year round. -Manpower-Logistics-Funding- MARINE FISHERIES RESEARCH DIVISION, TEMA

  19. Thank you MFRD

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