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agINFRA – open data infrastructures for research in agriculture Antun Balaz Institute of Physics Belgrade

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  • 1. agINFRA open datainfrastructures forresearch in agricultureAntun BalazInstitute of Physics Belgrade

2. agINFRA in a few sentences Based on a linked open data architectureharmonizing semantics and ontologies. Aggregating data of existing systems and takingadvantage of advanced Grid services andinfrastructure. Devised for scalability and maximum interoperabilityby adapting existing widely used components. Fostering diverse communities of heterogeneousproviders and users. Providing researcher-centric services. 3. Why agINFRA? 4. Why sharing data? Sharing research data is an intricate and difficult problem Not much data sharing may be taking place with exceptionsin some domains. Sharing takes different forms, from private data exchange toposting on-line, and including journal supplementarymaterials. There are few standards for giving shared data the requiredcomputational semantics to build automated tools. however reusing data is at the core of the principles of thescientific method and a major concern for scientists and policy makers. 5. What kinds of data? Primary data: Structured data, e.g. datasets as tables Digitized data: images, videos, etc. Secondary data Elaborations of the primary, e.g. a dendogram Provenance information, including authors, their organizations andprojects Methods and procedures followed Reports, including papers Secondary documents, e.g. training resources Metadata about the above Social data, tags, ratings, etc. 6. Why a data infrastructure? Enables relating data and combining andcontrasting them in novel ways Enables scalable processing of research data Provides easy-to-adopt and deploy services Supports a data-centric, integrated view of research Gives a coherent support to a variety of researchobjects 7. Conceptual architecture 8. A proposal for an agINFRAmanifesto 9. agINFRA valuesWe truly believe that scientific dataA| Open |Must be open and interlinkedNOT subject to barriers, based on standard formats and avoiding buildingdata silos due to lack of interrelatedness and ad-hoc APIs.B| Meaningful | Must be meaningful through explicit semanticsReusing the semantics already provided in mature terminologies andontologies that are exposed and interlinked through the Web.C| Reliable | Must be reliable, traceable and accessibleAny kind of research objects can be stored in the data infrastructure, andthere are NO barriers to expressing relations between these objects tocapture the context of research activities.D| Actionable | Must be actionable trough services that empower researchData is not useful without flexible and adaptable services that allowresearchers to act on the data in the ways they need. 10. agINFRA principles We trust that the following principles support the valuesInfrastructure PeopleServices Know and adapt to the Use existing componentsBe sustainable in theneeds of researcherssupported by stronglong termcommunities Provide out-of-the-box,Allow for heterogeneouseasy to adopt componentsCreate open services thatand rich kinds of data can be easily composedfeaturing semanticsFoster collaboration and sharing of data, via search Adapt services to researchExpose everything as but also casual discovery workflowslinked open data 11. For more information, visit us at:http://www.aginfra.eu/