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CWP / Tuna Atlas Agenda item 8.ii.a CWP activities regarding reference harmonization and data exchange; showcasing benefits with Global Tuna Atlas and.

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Presentation on theme: "CWP / Tuna Atlas Agenda item 8.ii.a CWP activities regarding reference harmonization and data exchange; showcasing benefits with Global Tuna Atlas and."— Presentation transcript:

1 CWP / Tuna Atlas Agenda item 8.ii.a CWP activities regarding reference harmonization and data exchange; showcasing benefits with Global Tuna Atlas and countries reporting to t-RFMOs ABNJ Tuna Project Fourth Project Steering Committee meeting FAO Rome, Italy, 11 to 13 July, 2017

2 CWP Reference harmonization group
The Coordinating Working Party on Fishery Statistics (CWP) Reference harmonization group Aims to publish a global standard for defining dataset structure To provide guidance to RFBs/RFMOs and national agencies to generate well formatted datasets To promote a standard approach to describe in a systematic manner fisheries datasets The objective is to reduce data management effort of fishery agencies, RFBs, RFMOs In collecting and publishing electronic datasets, In harmonization datasets for Promote best practices for publishing datasets easy To exchange, combine and integrate fisheries in (your) regional or (FAO’s and IRD’s) global databases.

3 CWP Reference harmonization (2)
CWP TWG on reference harmonization for capture fisheries and aquaculture 5 Tuna RFMOs and 1 RFB: CCAMLR, CCSBT, EUROSTAT, FAO, GFCM, IATTC, ICCAT, ICES, IOTC, NACA, NAFO, OECD, SEAFO, SEAFDEC, SPC and WCPFC. The TWG will review global data structure definitions for reporting schemes e.g logbooks , nominal catch,.. the lists of codes used The referencing and provenance of data and the data-tail of modifications. FAO proposes that the tuna sub-group of CWP parties meets in a workshop between 2017Q4 and 2018Q1  To review the FAO-IRD-BlueBRIDGE collaborative (Global) Tuna Atlas, And identify the benefits for RFMOs and national agencies. BlueBRIDGE H2020 will continue to dedicate effort to map Tuna RFMOs Codelists to CWP classifications (e.g ASFIS list, Areal Grid system, ISSCFG,…) to publish a global overview of tuna catch data through a web- and map-viewer to develop geospatial data harmonization and publication to develop stock assessment services (IRD will demonstrate some at ICCAT meeting). FAO corporate capacities for Master Data Management, CWP recommended that FAO create a CWP registry To promote data standard in the fisheries community for statistical and geospatial data To provide data services for code lists harmonization To support data harmonization.

4 Collating and combining public tuna fisheries datasets from t-RFMOs: how is this feasible today ?
5 tuna RFMOs: same public domain data But... ≠ ways to access the data ≠ formats ≠ structures ≠ codifications used ≠ ways of describing the data Questions: How to combine these data (I.e. to get a global overview of tuna fisheries ? ) How to improve data exchange and combination between t-RFMOs ? How to make data more visible, more used, and the processes that created the data more transparent ?

5 T-RFMOs data aggregation issues
Different formats and classifications in t-RFMOs datasets: IOTC catch and effort dataset For purse seine and bait boat Difference in structure: one is denormalized, one is normalized SPECIES FS= free school / LS = associated school (use of FAD) / UNCL = other Difference in classification: one is using scientific name, the other one the ASFIS code ICCAT nominal catches of Atlantic tunas and tuna-like fish For all vessel

6 The Tuna Atlas project: the data
IOTC ICCAT IATTC WCPFC CCSBT Collation and harmonization Global database for tuna fisheries The database hosts: Time series of t-RFMOs public domain datasets (nominal catch, georeferenced catch-and-efforts, catch-at-size) At various levels of processing: raw - as distributed by the tuna RFMOs – and merged and processed - by IRD to get a global vision of tuna fisheries  Code lists of the t-RFMOs and mappings with the global ones (recommended by the CWP) Rich descriptions => 1 single point of access for all the data and services (raw and processed, code lists, mappings and data structure definitions) => 1 single structure per variable => 1 single comprehensive and exhaustive way to describe data

7 Result: A global dataset of harmonized catch

8 The Tuna Atlas project: the services
How to share efficiently the data and metadata?  How to make it used by the largest number of people? => Through a set of services that are being developed  : Discover available data Access data Create new datasets, reproduce processing Visualize data and create reports How to access data the way I am used to ? How to create my own dataset, with my own processing ?  What data exist ? How to quickly visualize the data and build reports ? Description (and availability through web catalogues) of:  1) datasets,  2) associated reference datasets (codelists), 3) reference mappings involved for doing the harmonization, 4) data structure definitions, 5) processes Data services with various formats (e.g. csv, etc.) Map services Processing services (for data harmonization & analysis) Reproducibility Feedbacks and contributions for improving existing harmonization processes Web applications to visualize data and produce reports (under development)

9 Why is this useful: Data dissemination facilities
At regional level by RFMOs At national level by Fisheries Authorities: address the issue of reporting to multiple institutions (multiple format) from one unique source of data Publish in a public or private catalog. Benefit of existing standards Use of fisheries standards (CWP recommendations) Existing standards for geo-information (ISO, OGC) Compare your data and find models and analytical tools

10 Example of a catalogue

11 شكر 謝謝 Merci Thank You Благодарю ¡Muchas Gracias!


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