EGI-InSPIRE Grid and cloud services for the agricultural community Networking session – Room 8 Robert Lovas MTA SZTAKI [robert.lovas@sztaki.mta.hu] Andreas Drakos Agro-Know Technologies 1 EGI NIL meeting 1/28/2015 www.egi.eu www.egi.eu EGI-InSPIRE RI-261323 EGI-InSPIRE RI-261323
New Virtual team (to be launched soon) • Virtual Team in scoping phase • Background: – International projects: • agINFRA (ES, GR, I, HU, RS, etc.), Semagrow (ES, GR, RS, etc.) • AnaEE (ESFRI), ELIXIR (ESFRI), BioVEL (FP7), etc. – National projects and organisations: • INIA (ES), INRA (FR), Agrodat.hu (SZE, SZTAKI, HP & eNET), Agron2 and AgroMAX from Hungary (HumanSoft), … • Plans – Start: June 2014 – Duration: 6 months – Leaders: Andreas Drakos (AgroKnow), Robert Lovas (MTA SZTAKI, deputy) 2 www.egi.eu EGI-InSPIRE RI-261323
Objectives 1. Build (further) contacts network 2. Gather (more) use cases 3. Dissemination/outreach existing solutions 4. Harmonize sustainability plans 5. Promote sharing data (tools) 6. Gather requirements (for H2020 calls) 3 1/28/2015 www.egi.eu EGI-InSPIRE RI-261323
3. Sustainability plan • European projects are often required to write a sustainability plan. • Usually sustainability of project results highly depends on the other key players and stakeholders in the field; user community, funding agencies, base technology and solution providers, infrastructure operators, etc. • Since EGI related activities and sustainability plans might be important for this community as well, at least some cross-checking but in in ideal case the mutual harmonization would improve significantly both parties’ sustainability plans (EGI + agro projects). 4 1/28/2015 www.egi.eu EGI-InSPIRE RI-261323
4. Dissemination/outreach of solutions Flyers, use case stories and other materials can be provided to achieve the goal. 5 1/28/2015 www.egi.eu EGI-InSPIRE RI-261323
5. Sharing data? • Contrary to some other very well-organized scientific communities we can consider the willingness and/or readiness of sharing data is weaker in this field. – E.g. sharing educational and bibliographic data is in good shape but there is a room for improvement in case of (numerical) sensor data. • Very often we are the witnesses of technical (IT) related difficulties in this field due to the lack of information about the way/best practices how the other communities (e.g. in EGI) have already put this in everyday practice. • Moreover, sharing data would be vital and essential for building and using further higher level data services ; management, processing, aggregation, datamining, visualisation, etc. 6 1/28/2015 www.egi.eu EGI-InSPIRE RI-261323
6. Special requirements? • During the implementation, the VT is to identify some ‘missing puzzles’ in the big pictures. • There will be gathered requirements and also technology/infrastructure providers from the EGI community that would enable the VT member to form further collaboration by picking up a set of ‘missing puzzles’ ( MoUs, secondments, joint national or H2020 proposals, etc.) • What is about forming a DCC? 7 1/28/2015 www.egi.eu EGI-InSPIRE RI-261323
From today keynote speech (Chris Rawlings) 8 1/28/2015 www.egi.eu EGI-InSPIRE RI-261323
From today keynote speech Crowd computing? (Climeprediction.net) 9 1/28/2015 www.egi.eu EGI-InSPIRE RI-261323
H2020-EINFRA-2015-1 (VRE call) www.egi.eu EGI-InSPIRE RI-261323
EGI-InSPIRE Some related projects (Short intros) 11 1/28/2015 www.egi.eu www.egi.eu EGI-InSPIRE RI-261323 EGI-InSPIRE RI-261323
EU FP7 agINFRA project
agINFRA consortium Content Technical Dissemination Users 13
agINFRA values: scientific data must be A | Open | Must be open and interlinked NOT subject to barriers, based on standard formats and avoiding building data silos due to lack of interrelatedness and ad-hoc APIs. B | Meaningful | Must be meaningful through explicit semantics Reusing the semantics already provided in mature terminologies and ontologies that are exposed and interlinked through the Web. C | Reliable | Must be reliable, traceable and accessible Any kind of research objects can be stored in the data infrastructure, and there are NO barriers to expressing relations between these objects to capture the context of research activities. D | Actionable | Must be actionable via services that empower research Data is not useful without flexible and adaptable services that allow researchers to act on the data in the ways they need. 14
New agINFRA powered RING 15
agINFRA infrastructure in action Registry of Datasets and APIs Registry of vocabularies Cloud / SaaS tools VEST Including: VocBench registry agINFRA collections Omeka, AgriDrupal, AgriOceanDSpace agINFRA data sources agINFRA APIs LOD Vocabularies Productivity Tools agINFRA LOD KOSs agINFRA RDF AGROVOC Public REST APIs vocabularies agKEA, ag@RDF, and workflows Local KOSs Bibliographic agTransform, agHarvest… Controlled lists agHarvest, Educational Grid jobs agTagger - Document types Germplasm - Data types Soil - File formats (IANA +) Datasets - Protocols APIs - Audiences etc. - Licenses etc. 16 Information services
agINFRA Science Gateway from SZTAKI Liferay-based gUSE/WS-PGRADE for workflows – http://aginfra-portal.lpds.sztaki.hu/liferay-portal-6.0.5/ – … or on -demand deployment – REST API support, conditional workflows, robot certificate …. 17
Framework suggested by the High-Level Group on Scientific Data 18
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Agrodat.hu project Consortium: Duration: 2014-2017 Main objective : Establish an Budget: 8 MEUR agricultural knowledge centre and URL: www.agrodat.hu decision support system based on data gathered by an innovative, complex sensor system and from international open repositories 20 1/28/2015 www.egi.eu EGI-InSPIRE RI-261323
Measuring phenotypes and environment with 1000+ sensors 21 1/28/2015 www.egi.eu EGI-InSPIRE RI-261323
EGI-InSPIRE Spare slides 22 1/28/2015 www.egi.eu www.egi.eu EGI-InSPIRE RI-261323 EGI-InSPIRE RI-261323
Abstract • The European Grid Infrastructure provides (among others) grid and cloud powered services to user communities in order to cover their infrastructure needs for data processing. One of the communities that over the past years have been increasing its needs for access to such services for powerful and large-scale data processing is the agricultural community. • Initiatives such as the FP7 agINFRA project has been trying to fill this gap, by creating an e-infrastructure and integrated services specified for the agriculture community. Under this scope, this networking session will try to bring together stakeholders to discuss and exchange ideas regarding the needs of the agricultural community from e-infrastructures (such as EGI), and outline some available solutions and joint plans. The expected outcome is to receive feedback from the needs of such specific community as well as gather the perspectives of the participants through a constructive dialogue. This networking session will provide useful input for the planned EGI Virtual Team targeting specific needs of the agriculture community. 23 1/28/2015 www.egi.eu EGI-InSPIRE RI-261323
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