agINFRA– open datainfrastructures forresearch in agricultureAntun BalazInstitute of Physics Belgrade
agINFRA in a few sentences① Based on a linked open data architecture  harmonizing semantics and ontologies.② Aggregating d...
Why agINFRA?
Why sharing data?• Sharing research data is an intricate and difficult problem• Not much data sharing may be taking place ...
What kinds of data?• Primary data:   – Structured data, e.g. datasets as tables   – Digitized data: images, videos, etc.• ...
Why a data infrastructure?• Enables relating data and combining and  contrasting them in novel ways• Enables scalable proc...
Conceptual architecture
A proposal for an agINFRAmanifesto
agINFRA values    We truly believe that scientific dataA      | Open |          Must be open and interlinked              ...
agINFRA principles     We trust that the following principles support the valuesInfrastructure               People       ...
For more information, visit us at:    http://www.aginfra.eu/
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agINFRA CEFood Presentation

  1. 1. agINFRA– open datainfrastructures forresearch in agricultureAntun BalazInstitute of Physics Belgrade
  2. 2. agINFRA in a few sentences① Based on a linked open data architecture harmonizing semantics and ontologies.② Aggregating data of existing systems and taking advantage of advanced Grid services and infrastructure.③ Devised for scalability and maximum interoperability by adapting existing widely used components.④ Fostering diverse communities of heterogeneous providers and users.⑤ Providing researcher-centric services.
  3. 3. Why agINFRA?
  4. 4. Why sharing data?• Sharing research data is an intricate and difficult problem• Not much data sharing may be taking place – with exceptions in some domains.• Sharing takes different forms, from private data exchange to posting on-line, and including journal supplementary materials.• There are few standards for giving shared data the required computational semantics to build automated tools.• …however reusing data is at the core of the principles of the scientific method• … and a major concern for scientists and policy makers.
  5. 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 and projects• Methods and procedures followed• Reports, including papers• Secondary documents, e.g. training resources• Metadata about the above• Social data, tags, ratings, etc.
  6. 6. Why a data infrastructure?• Enables relating data and combining and contrasting 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 research objects
  7. 7. Conceptual architecture
  8. 8. A proposal for an agINFRAmanifesto
  9. 9. agINFRA values We truly believe that scientific dataA | 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 trough 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.
  10. 10. agINFRA principles We trust that the following principles support the valuesInfrastructure People Services Know and adapt to the Use existing componentsBe sustainable in the needs of researchers supported by stronglong term communities Provide out-of-the-box,Allow for heterogeneous easy to adopt components Create open services thatand rich kinds of data can be easily composedfeaturing semantics Foster collaboration and sharing of data, via search Adapt services to researchExpose everything as but also casual discovery workflowslinked open data
  11. 11. For more information, visit us at: http://www.aginfra.eu/

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