imarine initiative overview

Marc Taconet (FAO)

Donatella Castelli (CNR)

Extended Board Meeting

16-17 October 2013

iMarine Extended Board meeting, 16-17 October, FAO (Rome)

Introduction – iMarine Collaboration Opportunities

Introduction

• Welcome address and Meeting Participants

– iMarine Project staff

– iMarine Board members

– Members of the Extended Board

– Other invitees

• External

• FAO


Introduction

3

• ABAUNZA Pablo Spanish Institute of Oceanography (IEO)

• DE MOOR Willem VLIZ

• EVRARD Maud Science Europe

• MANZELLA Giuseppe ENEA

• SAGARMINAGA Yolanda Fundacion AZTI

• TELLER Anne EC

• THOMAS Hannah UNEP-WCMC

• WEBSTER Chloe MEDPAN

• HARRIS Peter GRID Arendal

• CHASSOT Emmanuel IRD

• STROMME Tore NANSEN

• GUITTON Jerome Agrocampus

• GILMAN Eric Sustainable Fish

• YE Yimin FAO

• CAMPANIS George SEAFO

• FITZGERALD Brian Fishery Officer with the Sea Fisheries Protection Authority

• RAMM David CCAMLR

• HARLEY Mark NAFO

• RUPP Jonas GOLD

• HERRERA Miguel IOTC

• DEVILLERS Rodolphe TBTI

New: Extended Board


Introduction

4

• BOEHM Klemens UNI-Karlsruhe

• BAILEY Megan BESTTUNA

• BUSH Simon BESTTUNA

• GREENE Randal TBTI

• CONNOR David Marine Environment and Water Industry, DG Environment

• FONTAINE Olivier Maritime policy for the Mediterranean and Black Sea, DG MARE

• ERNENS Marcel EUROSTAT

• SAAB Waddah DG RTD

• LIHTENEGER Darja European Environmental Agency (EEA)

• LEBLOND Emilie IFREMER

• SHEPHERD iain EMODNET

• MURRAY Alistair MMO

• MARSHALL Barb NAFO

• HALL Martin IATTC

• PALLARES Pilar ICCAT

• BERTELSEN Mette ICES

• HERNANDEZ Pilar (FIPI) GFCM

• MORGAN Simon CCSBT

• CAMPBELL Neil NAFO

• ROBIN Agnes Research Infrastructure Unit

• KIEFER Dale University of Southern California

• HOAD Richard FAO

• SINI Margherita FAO

Additional invitations to extended Board ex. FAO Staff


PART1 – What is a data e-infrastructure

• x

PART2 - Serving policy frameworks facing BIG challenges – example of EAF

PART 3 - The power of an e-Infrastructure -Synergies and efficiencies through Global collaboration communities

5

Outline


Outline

iMarine Extended Board meeting, 16 October 2013, FAO (Rome)

PART1 – What is a data e-infrastructure

Fin

ance

an

d a

dm

ini • ERCIM

Tech

no

logy

• CNR

• NKUA

• CERN

• E-IIS

• FORTH

• TERRA2

• CRIA

• FAO

• FIN

• IRD

• UNESCO

• NEAFC

Dis

sem

inat

ion

• Trust-IT

7

Me

mb

ers

of

the

Co

mm

un

ity

Project information

EU FP7 Capacity e-Infrastructure project, Nov 2012- Apr 2014

www.i-marine.eu

iMarine Objective

Launch an Initiative aimed at establishing and operating a data Infrastructure supporting the

implementation of the principles of the Ecosystem Approach

to Fisheries Management and Conservation of Marine Living Resources


Challenges

• Analysis and processing of a large amount of heterogeneous, across-domain produced information

• Multidisciplinary & multifacets collaboration at the local, national, regional and international levels

Physical and chemical features

Inventories of biological

information

Habitat types Socio-

economic aspects

Marine resource

assessment

Fishery operation,

processingand trade

Capacity & Diversity

Marine Planning


e-Infrastructure

Elecronic platform operated by a responsible entity offering an open set of basic enabling facilities (including access to resources) “as-a-service” to a distributed Community of Practice.

Economy of

scale

Quality of service

Time to market

Fostering harmonization & standardization across

communities


Community of Practice point of view: Services


Services

• Collaboration

• Sharing

• Publication

• Storage

• Processing

• Analysis

• Modeling

• Integration

• Enrichment

• Transformation

• Access

• Retrieval

Community of Practice point of view of the: Open set of services

• The set of “services” can change over the time

– new / enriched elements in a family

– better quality elements

– new service families

• Support is provided to those adding new elements in a family

e.g. models, statistical algorithms, mappings


Community of Practice point of view: Exploiting service through APIs


Community of Practice point of view: Virtual Research Environments


VRE

VRE VRE

VRE = Comprehensive, flexible, and secure Web-based working environment designed to serve the application needs of a community working for a specific goal

iMarine VREs (16 October 2013)

gCubeApps (public)

controlled access


AquaMaps VRE


Documents Workflow VRE


ICIS VRE


Inside iMarine: gCube

Hosted Technology and data • Cassandra/Hadoop/Mong

oDB Clusters • Virtuoso TripleStore • SDMX registry • OGC services cluster

(GeoNetwork, Geoserver, WPS, Thredds)

• FishBase and SeaLifeBase DBs

• ……

385 components (web services, libraries, portlets)


gCube: selected products

iMarine Product Catalogue


BiolCube StatsCube

ConnectCube GeosCube

Application bundles

e-Infastructure ecosystem building on previous efforts


Inside iMarine: data capacity

Semantic Data

Biodiversity

data

Geospatial

data

Statistical data

Documents

- OBIS, WoRMS, ITIS, AquaMaps, FishBase, SeaLifeBase, CoL, GBIF

- …….. DarwinCore

- FAO CodeLists - IRD CodeLists - FAO Global

Aquaculture Production

- FAO Global Capture Production

- FAO Global Production

- Eurostat - …

SDMX *

- WorldOcean Atlas, MyOcean, Gebco, NODC, W.O. Atlas, FAO GeoNetwork

…. ISO19139 (OGC W*S)


- FAO FLOD, DBPedia, IRD Ecoscope, …….. RDF, OWL

- FAO FishFinder Factsheeets, OceanDocs, BHL, CEEMaR, BioRisk,…… OAI-PMH, OpenSearch

Same infrastructure: multiple projects


www.d4science.org

PART2 - Serving policy frameworks facing BIG challenges – example of EAF

24

Outline


Serving policy framework facing BIG challenges – the EA

• FAO • DG MARE • Eurostat • NEAFC • MEDDE/DOF • IRD • ICES

• IOC/OBIS • FIN • CRIA • VLIZ • T2/GENESI-DEC

» BC1: Support to implementation of the EU Common Fishery Policy

» BC2: Support to FAO’s deep seas fisheries programme

» BC3: Support to regional tropical LME pelagic EAF community

Collaboration with SmartFish

Co-ordination with ABNJ

• iMarine Board – the Community Governing body:

– Representatives of a set of influential community partners

– Act as mediators between EA-CoP at large and the infrastructure, in order to drive technology developments

– stimulus - work together on three EA policy challenges (business cases)

• The iMarine Business Cases:

Fish

eri

es

Bio

div

ersi

ty

Envi

ron

me

nt


Matching the technology offer with community needs

A vision in support to EAF needs Fishery resource

productivity

Biodiversity and habitat

preservation

Social and economic goals values

Objectives

Indicators / Ref points

Distribution of fishery activity

Socio-economic structure of

fishing communities

Abundance levels fish

stocks

Distribution of non-target

species / habitats

Policy maker

Fishery manager

Scientist

Data manager

models

Data repositories

Statistician



27

iMarine support to data needs in the EA policy framework

4. Comprehensive species knowledge base to address impact of fishing on marine ecosystems

3. Mapping of sensitive or fragile habitats in need of special management (EBSAs or VMEs)

2. Fine grained catch & effort for resources assessment, management of fishing quota, fishing impact assessments

1. Species niche modeling to monitor health and trends of the ecosystems



PART 3 - The power of an e-Infrastructure -Synergies and efficiencies through Global collaboration

communities

28

Outline


29

Source: Kaschner et. al. (2006)

Monitoring ecosystem health and trends requires baselines

Species predictive mapping

Synergies and efficiencies through Global collaboration & CoP

BiolCube


30

– Biodiversity models • Joint occurrence of n taxa

Source: Coll et al. (2010)

Maintaining ecosystem health requires

Identification of Sensitive or fragile habitats

– Environmental enrichment of species occurrence data

BiolCube

GeosCube



Physical

variables

Environmental variables

for each occurrence, selection of the most appropriate proxi data according to: -Time range - Z range (depth)

Enriched species

occurrences

– Environmental enrichment of species occurrence data



32

SPREAD

• through post-factum reallocation of coarse resolution catch statistics based on species distribution maps

fishery policy making and management requires

Global assessments of high seas resources vs. resources inside EEZs

Fish quotas allocation

1. Higher resolution catch & effort assessment

StatsCube



33

2. Near-real-time management of high resolution fisheries operational data • Single simplified, more consistent, and cost

efficient workflow • more integrated and higher quality data in

coverage, timeliness, resolution and accuracy

3. Access to MCS data by science – VMS and e-LogBook data processing under

confidentiality requirements

VTI

CONTRIBUTION TO VALID

Fishery control and surveillance, and adaptive fishery management, require :

- quota uptake monitoring, fishing impact assessment

StatsCube



2. Near-real-time management of high resolution fisheries operational data



36 2nd iMarine Review - Brussels, 12 September 2013

VALID rules

DG Mare

Flag State

RFMO

Non-EU country

VTI - e-Logbooks, VMS (Fishing Activity Reports)

Coastal State

OTHERS

SDMX

FLUX

FLUX

FLUX FLUX

FLUX

FLUX

FLUX Infrastructure

ASSOCIATED INFORMATION (CODE LISTS, GEOGRAPHIC DATA)

FLUX

E-Logbooks vs.

Species geographic distributions

2. Near-real-time management of high resolution fisheries operational data – Promote FLUX as European \ Global data exchange standard, for MCS and Science

– Demonstrate iMarine’s capacity to produce quality data: VALID


37

Mapping of sensitive habitats is required for applying special management measures:

Aimed at reducing ecosystem impacts of e.g. Deep sea fishing on fragile ecosystems (VMEs assessments)



38

1. Workflow management for fishery and scientific data collected on Board fishing vessels, e.g. by-catch species identified by Observers on Board fishing vessels • FLUX and FishFrame support

2. Modeling of species geographic distribution, • Application of Predictive mapping models,

such as developed by Aquamaps

Source: IRD ECOSCOPE

Isurus oxyrinchus (Shortfin mako - shark)

Source: OBIS / IRD ECOSCOPE

Source: iMarine / AquaMaps

Mapping of sensitive habitats is required for applying special management measures:

Aimed at reducing ecosystem impacts of, e.g. Tuna Fishing on by-catch species (sharks, small tunas, marine mammals, turtles, seabirds)



39


Synergies – a case study

• In fisheries monitoring, attention is brought to: – By-catch species: Associated, discarded, protected

– Species which are indicators of fragile habitats (e.g. VME encounters)

• Species identification guides are being developed at regional / national level – Local efforts would benefit from collated knowledge

Chondrichthyes (class), Scombridae (family), Lutjanus spp (genus)

Condrycthiens (vs. Chondrichthyes)

P. notialis (vs. Penaeus notialis)

Pomadasydés, Sparidae (Pageot), Penaeus sp, langouste, seiche

Farfantepenaeus notialis (deprecated) vs. Penaeus notialis (official)

• Issue: many species names are reported, with variations and errors


40

Synergies – a case study:

• Taxa name matching / mapping – Names validation through cross-referencing

with glo bal taxonomic databases

– Capturing mappings between local expressions and authority lists

• Fisheries Linked Open Data (FLOD) – Organizing concepts and terms in

comprehensive ontologies available as Linked Open Data

• Comprehensive knowledge bases on: – Species vernacular / multilingual names

– broad range of species information

• contributing to fill the gap of knowledge

Cross-fertilization opportunities between fisheries sciences and bio-ecological sciences

Results in …


Plus …


41

• Species focused information disseminated through mobile applications, for use by anyone at consumer places

– Requires capacity to integrate multiple / complementary sources

– Efficiency will rely on broad knowledge base on species names, combined with GPS information of Mobile user

APPLIFISH

Fisheries science will benefit from comprehensive knowledge bases integrating fishery and biodiversity data sources:


APPLIFISH


ConnectCube

42



43



44

Elements of synergies

– Various Business Cases complement each other: – End-up building comprehensive toolkit required for entire flow from

raw data collection to policy indicators

– Data produced by A. are inputs to B. – all accessible from same environment

– Tools are pooled and can be reused across different communities having similar needs, and enriched

– Exchange among disciplines enhance quality

– Bridge MCS data with science (confidentiality requirements)

Elements of efficiencies

– Partner systems tend to specialize on their strength and delegate to others



CONCLUSION

What are the ingredients of success

45

Outline


46

Powerful technology

Community governance

Data access and sharing policies

Business model for Exploitation of the data infrastructure

– Public-led Partnership business model

Conclusion – ingredients of success


Thanks for your attention

47

Outline


48 2nd iMarine Review - Brussels, 12 September 2013

EA-CoP uptake

P/S support to BCs

BC overview

Uptake Status

BiolCube

GeosCube

Synergies and efficiencies

Fisheries data flow in support to EU’s CFP

DG Mare

DOF Flag State

DOF Coastal State

Research institute

Small fleet segments

RFMO

ICES

JRC

Catch report

FLUX

DC

F

Op

era

tio

nal

dat

a

eRS FLUX

Other

DCF format ( Fishframe in future?)

National format

eRS or national

format FLUX

Raw data eRS FLUX

SDMX

Non-EU country

Raw or Aggregated data

FLUX

Business cases in support to decision making in EA

"iMarine e-Infrastructure for Data Driven Decision Making and Research Workshop" 14th & 15th May 2013, Brussels

DG Mare

DOF Flag State

DOF Coastal State

Research institute

Small fleet segments

RFMO

ICES

JRC

Raw or Aggregated data

FLUX

Catch report

FLUX SDMX

DC

F

Op

era

tio

nal

dat

a

eRS or national

format FLUX

eRS FLUX

Other

National format

Raw data eRS FLUX

Non-EU country

Where iMarine infrastructure can support – National nodes

Offer infrastructure services

SDMX

DCF format ( Fishframe in future?)

Business cases in support to decision making in EA

"iMarine e-Infrastructure for Data Driven Decision Making and Research Workshop" 14th & 15th May 2013, Brussels

52

Conclusion – synoptic view EU projects Emodnet EuroMarine GeoSeas Assemble JPI Oceans

Genomics

Habitats

Geology

Physico

Chemico

Human activity

Global Taxonomy

Biodiversity

Ocean Observ. physico-chemico

FAO projects ABNJ Deep-Seas ABNJ Tunas

IOC Smartfish

iMarine

Discussion time


imarine initiative overview

Technology

fao rome3

fao rome4

fao rome5

extended board abaunza

fao romefishery operation

imarine vres

imarine objective

cria fao fin ird unesco