Supporting eScience Communities: The D4Science Perspective on EGI Pasquale Pagano D4Science TD [email protected] User Community Transition from

Supporting eScience Communities: The D4Science Perspective on EGI

Pasquale PaganoD4Science [email protected]

User Community Transition from EGEE to EGI 17 December2008

Paris (France)

www.d4science.org

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Outline

• D4Science in a nutshell

• Communities characterization

• D4Science as a mediator• Resources • Support

• Speculation on the EGI model

Supporting eScience Communities: The D4Science Perspective on EGI17 December 2008, Paris (France)

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D4Science highlights

Introduction


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D4Science vision

D4Science vision

calls for the realization of scientific e-Infrastructures that will remove technical concerns from the minds of scientists, hide all related complexities from their perception, and enable users to focus on their science and collaborate on common research challenges

gCube is

a framework to manage distributed e-infrastructures where it is possible to define, host, and maintain dynamic virtual research environments capable to satisfy the collaboration needs of distributed Virtual Organizations (VOs)


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Virtual Research Environment (VRE)

VRE is a distributed highly dynamic environment for

• carrying out cooperative activities like data analysis and processing; data generation, integration, enrichment, and curation; production of new knowledge using specialized tools

• largely based on retrieval and access of always updated knowledge from diverse heterogeneous data sources

• produce knowledge that is preserved and made available for other usages inside and outside the VRE


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Virtual Research Environments Resources

VRE environment is designed, dynamically deployed, and operated as a set of cooperating resources:

computing, storage VRE enabling middleware

Information system, monitoring, resource management and orchestration VRE services

content and storage management, discovery and access, … applications

mostly provided by the VOs collections of raw data, content, and metadata

enriched with schemas, mapping rules, transformation programs, relationships, …

processes defined to manage such resources


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Communities characterization

Part 1


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ENVIRONMENTAL MONITORING VO:

CHLOROPHYLL AND VEGETATION DISTRIBUTION VREs

Courtesy by

Luigi FuscoESA

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VREs: to enhance current procedures

The VRE integrated environment puts at disposal a functionality set which is not today available in Earth Science to support and perform research activities: examples are

the ability to process information on-demand ingesting the results,

to set-up further VREs opening to colleagues, to perform customized collection of information, to store user actions and exploit them for further use, to aggregate relevant information into ad-hoc

information sources and keeping them updated.


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VREs data sources

eogrid.esrin.esa.int: daily updated data sets and applicationswww.fao.org/geonetwork: ~4.7k global data setwww.gmes.info: key community portal to data set and

applicationswww.medspiration.org: daily updated data setswww.eoportal.org: reference documentation, metadata, and

applicationsidn.ceos.org: reference thesaurus, ~30k productswww.eea.eu.int: environmental data sets and reports

Products: Landsat 7, AATSR, Meris level 2, Meris Level 3, MGVI.


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VREs: to enhance current procedures

Currently these steps are carried on manually, on different technologies and systems delaying the delivery of research results.

The planned VREs offer a dynamic set up and utilization of Virtual DL which are created for the specific scope defined by the users.

The focus, once again, is not in the processing, but in the dynamic allocation of resources.


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FISHERIES AND AQUACULTURE RESOURCES MANAGEMENT VOs

INTEGRATED FISHERIES CAPTURE INFORMATION SYSTEM - ICIS VRE

Courtesy by

Marc Taconet FAO


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WorldFish Center

One of 15 centers supported by the Consultative Group on International Agricultural Research (CGIAR). Close relationship with IWMI (water management)

HQ in Penang, Malaysia with 11 Country Offices: AFRICA: Cameroon, The Democratic Republic of Congo, Egypt, Malawi, Zambia; ASIA: Bangladesh, Cambodia, China , The Philippines; PACIFIC: New Caledonia, Solomon Is.

Partnership with government and non-governmental agencies at regional, national and local levels in the developing world, and with advanced research institutions in more than 25 countries with more than 200 partners representing 50 countries

Priority to help regional and national bodies to develop fisheries and aquaculture management strategies


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Food and Agriculture Organization of the United Nations

FAO: www.fao.org, UN agency Institutional, inter-governmental Establish standards, controlled vocabularies, ontologies Gather data, information incl. landing statistics, and

methodologies Propose recommendation of good practices

Fishery Department investigates the impact of fisheries on the world's marine ecosystems in collaboration with Regional Fisheries Bodies

Academic research Reconstruct historical catches and biomasses at ocean level


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Regional Fishery Bodies

Intergovernmental bodies Management of shared resources

• On geography basis (sea)• On stock basis (migratory species like tuna)

Gather data, information including catches and landing statistics

Recommendations for quotas by country (to be endorsed by regional political bodies)


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Regional Fishery Bodies


Source: FAO: http://www.fao.org/figis/

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Community member selection– phase one

Begin at regional level Clearest need for VRE’s at this level Multiple nations Multiple data sources High profile assessments on commercially important stocks

Partner selection criteria who FAO is currently involved with who is regularly performing assessments who has expressed interest who has good IT experience data without problems of access rights

Current candidates

ICES NAFO


SEAFDEC SPC

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www.d4science.orgICES FAO (GFCM/CECAF) NAFO

Data services

Data model

Data services

Data model

Data services

Data model

Mapping rules

Data import services

Reallocation rules

Data formatting

CSV table DB connection XML WSDL PDF HTML

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Query support

GIS services data services

Common data model

Reliability indexFAO (GFCM /

CECAF)NAFOICES

Geo Network

Aqua MapSpecies habitat

index

VREs: to enhance current assessment procedures


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Professional backgrounds

Fishery biologists and marine ecologists Statisticians and modelers Economists Sociologists Lawyers and enforcement skills (rangers, customs,

coast guards)

Conservationists: Threatened species and Marine Protected Areas (MPA: are also seen as a fishery management tool)


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Scope: Socio-Ecological Systems (SES)

Increase the resiliency (= decrease the vulnerability) of fisher communities (with respect to e.g.

Overfishing (by locals or intruders) Natural stock variability Natural hazards Global climate change

Taking into account external impacts e.g. Political and economic situations Cultural peculiarities Epidemiological situations


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D4Science as a mediator

Part 2


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D4Science Mediation

Mediates over the definition, deployment, and maintenance of EGEE sites• VOs users management• Applications porting to the Grid and execution, e.g. Aquamaps data challenge

(>100k jobs, >10M compound products)• Applications integration, e.g. Landsat 7• Grid Services integration, e.g. ESA gPod MGVI

Support the definition, deployment, and maintenance of gCube sites for the creation and maintenance of VREs

• Resource description, monitor, and provision (GLUE, WSRP, WSDL, ..)• Dynamic selection, configuration, and secure resources exploitation in VREs

scope• Services orchestration (BPEL)• Data integration

• Support for compound objects, multiple metadata formats, mixed media annotation• Support for advanced information retrieval, fusion and merge of the result, access• Support for curation, transformation, and enhancement of data


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D4Science Resources

D4Science provides seed resources • through the provision of 3 EGEE sites maintained by

technological partners (64 WNs, >100 cores)

D4Science supports communities • through SA and its production support team but the

maintenance of am EGEE site is still perceived too costly (number of updates and duties)

D4Science promotes communities VOs• through the establishment of agreements with other EGEE

VOs, e.g. csTCDie (Trinity College, Dublin)


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Speculation on the EGI model

Part 3


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Towards EGI

D4Science facts: Institutional partners with world-wide mandate Shared vision towards a data infrastructure ecosystem User-pulled requirements Buying-in plans from partners organizations Strategy for growth by contamination

Long Term Vision: Institutionalized entity responsible for

the coordination and maintenance of the data infrastructure ecosystem the secretariat for the ecosystem governing body

Current implementation: Project-based organization coordinating project partners and

EGEE provided resources

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Towards EGI

Envisioned solution: Specialised Support Center Hosted by EGI.org

Providing seed resources

Empowered and Governed by Ecosystem Members

Project-based Project-based Institutionalized EntityInstitutionalized Entity

FROM TO

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TIME FOR QUESTIONS AND DISCUSSION

Thanks for your attention


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ADDITIONAL SLIDES


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www.d4science.orgFisheries User Community: Overview10 January 2008, Sophia Antipolis (France)

World FAO areas

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Organizational level and workflow

Roles distributed: by themes

Ecology – environment Fisheries

by mission: Policy – management – development Research Control and enforcement

by geographical scale: Global level Regional level National level

FAO WFC RFBs National research center

National administ

ration

xx x

xxx x

xx x

x

xx

x

x

x xx

x x


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Needs at global level for High Seas fisheries UN recommendations

“distinguish catch in the High Seas from catch within EEZs”

current status: reporting by statistical areas

Organizational level and workflow Global organizational framework: High Seas


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Needs at global level for High Seas fisheries UN recommendations

“distinguish catch in the High Seas from catch within EEZs”

current status: reporting by statistical areas



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REGIONAL LEVEL

standard reporting

format

fishbase DBFAO

WFC

RFBsCatch + GIS

peer reviewediting

NOAA

OBIS

GLOBAL LEVEL

Catch + GIS

Satelliteoceanographic

Species occurrence

end user

Fishery ontology

Reference system

Aquamap

Needs for High Seas fisheries Organigram of possible workflow



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Conclusion on needs

Regional level: Scope: assessment and management of shared and straddling

stocks Needs for VREs: sharing workspace, replaying and streamlining

legacy information systems scientific knowledge elaboration management advice status and trends reporting

Global level: Scope: High Seas fisheries Needs for VREs: permanent shared services to providers and

web-services to end users Networked catch regional databases, and global fishery ontology Modelling of ecological processes - Aquamap process: Species

likeliness of spatial occurrence indexes Peer review processes


Documents

Supporting eScience Communities: The D4Science Perspective on EGI Pasquale Pagano D4Science TD [email protected] User Community Transition from