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PRO2019-01 Preparation and documentation of a standardised linked dataset -- including commercial effort reporting, fisheries observer data, and protected species captures
Details
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Tender Closed
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Tender Cancelled
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| RFx ID : | 21525092 |
| Tender Name : | PRO2019-01 Preparation and documentation of a standardised linked dataset -- including commercial effort reporting, fisheries observer data, and protected species captures |
| Reference # : | O - PRO2019-01 |
| Open Date : | Tuesday, 3 September 2019 9:00 AM (Pacific/Auckland UTC+12:00) |
| Close Date : | Friday, 4 October 2019 2:00 PM (Pacific/Auckland UTC+13:00) |
| Tender Type : | Request for Proposals (RFP) |
| Tender Coverage : | Sole Agency [?] |
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| Exemption Reason : | None |
| Required Pre-qualifications : | None |
| Contact : |
Erica Pope 048301556 |
| Alternate Physical Delivery Address : | |
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Prepare and document a standardised, comprehensive database -- linking commercially reported catch and effort, fisheries observer data, and protected species captures – providing a standard platform for all protected species research projects
The COD and WAREHOU databases were structured with fisheries catch/effort data in mind; in isolation neither of these are ideally suited as a basis for protected species research. As a consequence, currently all protected species projects utilise the OREO database, groomed and maintained by Dragonfly DataScience. However this database was produced in the past for a different purpose (to inform the online Protected Species Captures website) and was only adopted subsequently as the basis for protected species projects delivered by other research providers. With the emergence of more sophisticated analytical methods applied to protected species research (especially spatially explicit analyses such as SEFRA) there is a need to ensure that databases underlying protected species research projects are structured appropriately and documented clearly, to allow consistent and efficient interpretation and analysis, including by new research providers not familiar with the origins of existing databases.
