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Facilitating data discovery & sharing among agricultural scientific networks Nikos Manouselis, CEO Agro-Know [email protected]

Facilitating data discovery & sharing among agricultural scientific networks

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Facilitating data discovery & sharing among agricultural scientific networks

Nikos Manouselis, CEO [email protected]

background

An extraordinary company that captures, organizes and adds value to the rich information available in agricultural and biodiversity sciences, in order to

make it universally accessible, useful and meaningful.

http://www.agroknow.com

indicative partners & clients• Food and Agriculture Organization (FAO)• Global Forum on Agricultural Research (GFAR)• International Fund for Agricultural Development (IFAD)• World Bank Group• UK’s Dept for International Development (DFID)• Michigan State University (MSU)• Wageningen University & Research (WUR)• French Institute of Agricultural Research (INRA)• International Centre for Research in Organic Food

Systems (ICROFS)

data sharing and discovery across networks?

within a collaboration…

• many people, from several groups, from different organisations

• working on common topics of interest• sharing information about what they do–within the network–with the rest of the world

typical challenges• sharing topic-specific information from larger,

generic data sources– e.g. food safety publications & data sets from the WB open

repositories

• combining information from multiple data sources– e.g. all food safety course & OER offerings from several

institutions• providing simple, seamless search services to users– e.g. combining information coming in different metadata

formats, through both harvesting and querying protocols

what are we building in AKstem?

how does it look like?

http://www.akstem.com/gfsp

providing information

mapping the network

searching across the network

next challenges

• search & results mashing up different information/data types from multiple sources

• linking from one information resource to another, regardless of format & type

• going beyond metadata, into data searching, processing, visualising etc.