Supporting eScience Communities: The D4Science Perspective on EGI

1. Supporting eScience Communities: The D4Science Perspective on EGI User Community Transition from EGEE to EGI 17 December2008 Paris (France) Pasquale Pagano D4Science TD pasquale.pagano@isti.cnr.it www.d4science.org

2. 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 EGI

3. Introduction D4Science highlights Supporting eScience Communities: The D4Science Perspective on EGI

4. 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) Supporting eScience Communities: The D4Science Perspective on EGI

5. Virtual Research Environment (VRE) • VRE is a distributed highly dynamic environment for • carrying out cooperativeactivities 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 Supporting eScience Communities: The D4Science Perspective on EGI

6. 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 Supporting eScience Communities: The D4Science Perspective on EGI

7. Part 1 Communities characterization Supporting eScience Communities: The D4Science Perspective on EGI

8. Courtesy by Luigi Fusco ESA Environmental Monitoring VO:chlorophyll and vegetation distribution VREs

9. 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. Supporting eScience Communities: The D4Science Perspective on EGI

10. VREs data sources • eogrid.esrin.esa.int: daily updated data sets and applications • www.fao.org/geonetwork: ~4.7k global data set • www.gmes.info: key community portal to data set and applications • www.medspiration.org: daily updated data sets • www.eoportal.org: reference documentation, metadata, and applications • idn.ceos.org: reference thesaurus, ~30k products • www.eea.eu.int: environmental data sets and reports • Products: Landsat 7, AATSR, Meris level 2, Meris Level 3, MGVI. Supporting eScience Communities: The D4Science Perspective on EGI

11. 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. Supporting eScience Communities: The D4Science Perspective on EGI

12. Courtesy by Marc Taconet FAO Fisheries and Aquaculture Resources Management VOsIntegrated fisheries Capture Information System - ICIS VRE Supporting eScience Communities: The D4Science Perspective on EGI

13. 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 Supporting eScience Communities: The D4Science Perspective on EGI

14. 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 Supporting eScience Communities: The D4Science Perspective on EGI

15. 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) Supporting eScience Communities: The D4Science Perspective on EGI

16. Regional Fishery Bodies Source: FAO: http://www.fao.org/figis/ Supporting eScience Communities: The D4Science Perspective on EGI

17. 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 Supporting eScience Communities: The D4Science Perspective on EGI

18. VREs: to enhance current assessment procedures CSV table DB connection PDF HTML XML WSDL output Data formatting analysis Query support Reallocation rules realloc-ation Annotation / User rights GIS services data services Geo Network Aqua Map Species habitat index Reliability index ICES FAO (GFCM / CECAF) NAFO model Common data model Mapping rules harmon-ization Data import services Data services Data services Data services Data model Data model Data model import ICES FAO (GFCM/CECAF) NAFO Supporting eScience Communities: The D4Science Perspective on EGI

19. 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) Supporting eScience Communities: The D4Science Perspective on EGI

20. 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 Supporting eScience Communities: The D4Science Perspective on EGI

21. Part 2 D4Science as a mediator Supporting eScience Communities: The D4Science Perspective on EGI

22. 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 Supporting eScience Communities: The D4Science Perspective on EGI

23. 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) Supporting eScience Communities: The D4Science Perspective on EGI

24. Part 3 Speculation on the EGI model Supporting eScience Communities: The D4Science Perspective on EGI

25. 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

26. Towards EGI FROM TO • Envisioned solution: • Specialised Support Center • Hosted by EGI.org • Providing seed resources • Empowered and Governed by Ecosystem Members Project-based Institutionalized Entity

27. Thanks for your attention Time for questions and discussion Supporting eScience Communities: The D4Science Perspective on EGI

28. Additional slides Supporting eScience Communities: The D4Science Perspective on EGI

29. World FAO areas Fisheries User Community: Overview

30. National research center National administration FAO WFC RFBs x x x x x x x x x x x x x x x x x x x x 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 Supporting eScience Communities: The D4Science Perspective on EGI

31. Organizational level and workflowGlobal organizational framework: High Seas • 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 Supporting eScience Communities: The D4Science Perspective on EGI

32. Organizational level and workflowGlobal organizational framework: High Seas • 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 Supporting eScience Communities: The D4Science Perspective on EGI

33. Organizational level and workflowGlobal organizational framework: High Seas • Needs for High Seas fisheries • Organigram of possible workflow end user GLOBAL LEVEL Aquamap fishbase DB WFC Fishery ontology Catch + GIS FAO Satellite oceanographic NOAA standard reporting format peer reviewediting Species occurrence OBIS Catch + GIS Reference system RFBs REGIONALLEVEL Supporting eScience Communities: The D4Science Perspective on EGI

34. 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 Supporting eScience Communities: The D4Science Perspective on EGI