Joint agINFRA & SCI-BUS workshop, 30/05/2013, Budapest, Hungary FP 7-INFRASTRUCTURES-2011-2 programme FP 7-INFRASTRUCTURES-2011-2 programme 283770 agINFRA 283770 agINFRA Joint agINFRA & SCI-BUS workshop agINFRA Open data infrastructures for research in agriculture 30th of May, 2013, Budapest, Hungary 30th of May, 2013, Budapest, Hungary Babis Thanopoulos Babis Thanopoulos Agro-Know Technologies Agro-Know Technologies
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Joint agINFRA & SCI-BUS workshop, 30/05/2013, Budapest, Hungary
Agricultural research (+) content• publications, theses, reports, other grey literature• educational material and content, courseware• primary data, such as measurements & observationso Structured (e.g. datasets as tables) / digitized (e.g. images)
• secondary data, such as processed elaborationso e.g. dendrograms, pie charts
• provenance information, incl. authors, their organizations and projects
• experimental protocols & methods• social data, tags, ratings, etc.
Joint agINFRA & SCI-BUS workshop, 30/05/2013, Budapest, Hungary
Why a data infrastructure?• Enable relating data and combining and contrasting
them in novel ways.• Enable scalable processing on research data.• Provide easy to adopt and deploy services.• Support a data-centric, integrated view of research.• Give a coherent support to a variety of research objects
(Bechhofer et al., 2010).
Joint agINFRA & SCI-BUS workshop, 30/05/2013, Budapest, Hungary
agINFRA valuesA | Open | Must be open and interlinkedA | Open | Must be open and interlinked
NOT subject to barriers, based on standard formats and avoiding building NOT subject to barriers, based on standard formats and avoiding building data silos due to lack of interrelatedness and ad-hoc APIs.data silos due to lack of interrelatedness and ad-hoc APIs.
B | Meaningful | Must be meaningful through explicit semantics B | Meaningful | Must be meaningful through explicit semantics
C | Reliable | Must be reliable, traceable and accessibleC | Reliable | Must be reliable, traceable and accessible
D | Actionable | Must be actionable trough services that empower research D | Actionable | Must be actionable trough services that empower research
Reusing the semantics already provided in mature terminologies and Reusing the semantics already provided in mature terminologies and ontologies that are exposed and interlinked through the Web.ontologies that are exposed and interlinked through the Web.
Any kind of research objects can be stored in the data infrastructure, and Any kind of research objects can be stored in the data infrastructure, and there are NO barriers to expressing relations between these objects to there are NO barriers to expressing relations between these objects to
capture the context of research activities.capture the context of research activities.
Data is not useful without flexible and adaptable services that allow Data is not useful without flexible and adaptable services that allow researchers to act on the data in the ways they need. researchers to act on the data in the ways they need.
Joint agINFRA & SCI-BUS workshop, 30/05/2013, Budapest, Hungary
Allow for heterogeneous and rich kinds of data featuring semantics
Expose everything as linked open data
PeoplePeople
Know and adapt to the Know and adapt to the needs of researchersneeds of researchers
Provide out-of-the-box, Provide out-of-the-box, easy to adopt componentseasy to adopt components
Foster collaboration and Foster collaboration and sharing of data, via search sharing of data, via search but also casual discoverybut also casual discovery
ServicesServices
Use existing components Use existing components supported by strong supported by strong communitiescommunities
Create open services that Create open services that can be easily composedcan be easily composed
Adapt services to research Adapt services to research workflowsworkflows
Joint agINFRA & SCI-BUS workshop, 30/05/2013, Budapest, Hungary
References• Borgman, Christine L. (2011, submitted). The conundrum of
sharing research data. Journal of the America Society for Information Science and Technology.
• Bechhofer, S., Ainsworth, J., Bhagat, J., Buchan, I., Couch, P., Cruickshank, D., Delderfield, M., Dunlop, I., Gamble, M., Goble, C., Michaelides, D., Missier, P., Owen, S., Newman, D., De Roure, D. and Sufi, S. (2010) Why Linked Data is Not Enough for Scientists. In: Sixth IEEE e–Science conference (e-Science 2010), December 2010, Brisbane, Australia.
Joint agINFRA & SCI-BUS workshop, 30/05/2013, Budapest, Hungary