Grid and cloud services for the agricultural community Networking - - PowerPoint PPT Presentation

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EGI-InSPIRE

www.egi.eu EGI-InSPIRE RI-261323

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

1/28/2015 1 EGI NIL meeting

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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)

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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)

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• 3. Sustainability plan
• European projects are often required to write a

sustainability plan.

• Usually sustainability of project results highly depends
• n 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).

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• 4. Dissemination/outreach
• f solutions

Flyers, use case stories and other materials can be provided to achieve the goal.

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• 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.

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• 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?

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From today keynote speech

(Chris Rawlings)

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From today keynote speech

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Crowd computing? (Climeprediction.net)

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H2020-EINFRA-2015-1 (VRE call)

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EGI-InSPIRE

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Some related projects

(Short intros)

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EU FP7 agINFRA project

agINFRA consortium

Technical

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Content Dissemination Users

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 C | Reliable | Must be reliable, traceable and accessible D | Actionable | Must be actionable via services that empower research

Reusing the semantics already provided in mature terminologies and

• ntologies that are exposed and interlinked through the Web.

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. Data is not useful without flexible and adaptable services that allow researchers to act on the data in the ways they need.

agINFRA values: scientific data must be

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New agINFRA powered RING

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Registry of Datasets and APIs Productivity Tools Registry of vocabularies

VEST registry

LOD Vocabularies

AGROVOC

Local KOSs Controlled lists

• Document types
• Data types
• File formats (IANA +)
• Protocols
• Audiences
• Licenses

etc.

agINFRA RDF vocabularies agINFRA LOD KOSs Bibliographic Educational Germplasm Soil Datasets APIs etc. agINFRA data sources agINFRA collections agINFRA APIs Including:

Information services

Grid jobs and workflows agKEA, ag@RDF, agHarvest… Public REST APIs agHarvest, agTransform, agTagger Cloud / SaaS tools Omeka, AgriDrupal, AgriOceanDSpace VocBench 16

agINFRA infrastructure in action

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….

agINFRA Science Gateway from SZTAKI

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Framework suggested by the High-Level Group on Scientific Data

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Agrodat.hu project

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Main objective: Establish an agricultural knowledge centre and decision support system based on data gathered by an innovative, complex sensor system and from international open repositories Duration: 2014-2017 Budget: 8 MEUR URL: www.agrodat.hu Consortium:

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Measuring phenotypes and environment with 1000+ sensors

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EGI-InSPIRE

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Spare slides

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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.

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