Webinar@AIMS: Perspective on Big Data in the CGIAR
To help reaching the Sustainable Development Goals, CGIAR must tap into Big Data. Within the programme on Climate Change for Agriculture and Food Security (CCAFS), researchers have already applied Big Data analytics to agricultural and weather records in Colombia, revealing how climate variation impacts rice yields. After defining its Open Data-Open Access strategy, CGIAR has launched an internal call for proposals for big data analytics platforms that will provide services to the Agri-Food system programmes and parners, and will interconnect the CGIAR data to other multi-disciplinary big data. The seminar will present the pespectives of the envisioned platforms.
Authors:
Elizabeth Arnaud
Since 2008, Elisabeth Arnaud leads the Crop Ontology http://www.cropontology.org project of the Integrated Breeding Platform to provide trait dictionaries and semantics for annotation of breeders' data and is a co-leader of the Reference ontologies for the Planteome project (http://planteome.org ) . She coordinated the Musa Germplasm Information System (MGIS) until 2006 and then, for 3 years, the CGIAR System-wide Information System on Genetic Resources (SINGER). She led the development of the Bioversity geospatial database for the 225,000 crop samples collected during the 500 FAO/IPGRI-supported collecting missions (http://bioversity.github.io/geosite/ ). She is also Head of Delegation for Bioversity to the Global Biodiversity Information Facility (GBIF, http://www.gbif.org/ ) and a member of the Science Committee and a Steering Committee member of DivSeek Initiative (http://www.divseek.org/ ).
