Show simple item record

dc.contributorBiradar, Chandrashekharen_US
dc.contributorBonaiuti, Enricoen_US
dc.contributorThomas, Richarden_US
dc.creatorLe, Quang Baoen_US
dc.identifier.citationQuang Bao Le, Chandrashekhar Biradar, Enrico Bonaiuti, Richard Thomas. (13/7/2016). Systems Approach to Link Big Socio-ecological Geo-data to Food Systems Sustainability. Toulouse, France: Sabine Sauvage (Curator), José Miguel Sanchez Perez, Andrea Emilio Rizzoli.en_US
dc.description.abstractRapid development of multi-dimensionally, multi-scale, timely updated socio-ecological geodata presents an opportunity as potential information resource for supporting effective decisionmaking of stakeholders involved with food systems, from daily routines of individuals to strategic decisions of manager and policy-makers. However, the use of this type of big data toward supporting the sustainability of food systems at different scales still fall short of (i) what information commonly needed by food system actors to response and adapt to socio-ecological change and enhance the system performance, (ii) interoperability between different types of data across scales, and (iii) sufficient guidance to utilize big data resources for diverse users' contexts and needs. In this reviewbased and conceptual analysis, we propose a framework with functional blocks for designing integrated agro-informatics systems that organize uses of big socio-ecological data for research and development with an orientation to food system sustainability. These functional blocks are (1) information need assessment, (2) use cases library development, (3) interoperability improvement, (4) pattern-trend discovery and (5) feedback management including co-learning. A typical use-case is a sequence of limited steps that describes the interactions between a typical user and the information system to accomplish a typical goal. Use cases library consists of as many as possible typical use cases to cope with diverse use needs. Interoperability improvement focuses on critical interfaces such as between quantitative and qualitative data, and place-based and flow-based data (e.g. agroecology vs. value chains). We illuminate the concept and discuss its potential benefits with a pilot project on web-based GIS for SLM options-by-context (SLM: Sustainable Land Management) initiated by CGIAR Research Program on Dryland Systems.en_US
dc.publisherInternational Environmental Modelling and Software Society (iEMSs)en_US
dc.subjectuse cases libraryen_US
dc.subjectbig dataen_US
dc.subjectcrp on dryland systemsen_US
dc.titleSystems Approach to Link Big Socio-ecological Geo-data to Food Systems Sustainabilityen_US
dc.typeConference Paperen_US
cg.creator.idLe, Quang Bao: 0000-0001-8514-1088en_US
cg.creator.idBiradar, Chandrashekhar: 0000-0002-9532-9452en_US
cg.creator.idBonaiuti, Enrico: 0000-0002-4010-4141en_US
cg.creator.idThomas, Richard: 0000-0002-8009-5681en_US
cg.subject.agrovocfood systemsen_US
cg.contributor.centerCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.crpCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.funderNot Applicableen_US
dc.identifier.statusOpen accessen_US

Files in this item


There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

DSpace software copyright © 2002-2016  DuraSpace
MELSpace content providers and partners accept no liability to any consequence resulting from use of the content or data made available in this repository. Users of this content assume full responsibility for compliance with all relevant national or international regulations and legislation.
Theme by 
Atmire NV