Request For Proposals For Preparation And Documentation Of A Standardised Linked Dataset Including Commercial Effort Reporting Fisheries Observer Data And Protected Species Captures

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22451933
O PRO2019 01
Self Funded
Request For Proposals For Preparation And Documentation Of A Standardised Linked Dataset Including Commercial Effort Reporting Fisheries Observer Data And Protected Species Captures
NCB
Australia and New Zealand
Asia-Pacific Economic Cooperation, APEC
26-09-2019

Work Detail

Request For Proposals For Pro2019 01 Preparation And Documentation Of A Standardised Linked Dataset Including Commercial Effort Reporting Fisheries Observer Data And Protected Species CapturesOpen Date Tuesday 3 September 2019 9 00 Am Pacific Auckland Utc 12 00 Close Date Thursday 26 September 2019 2 00 Pm Pacific Auckland Utc 12 00 Tender Type Request For Proposals Rfp Tender Coverage Sole AgencyRegions New ZealandRequired Pre Qualifications NoneOverview 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 ProjectsThe 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

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