GODAN webinar "Turning Data into Insight"
For those of you who could not assist last week to the GODAN Webinar: Turning Data into Insight, we are now able to present you with the recording of the webinar.
This talk presented an overview of the Big Data Platform and the GARDIAN data ecosystem.
Watch the recording here.
Big data and machine learning technologies represent an unprecedented opportunity to reduce food insecurity and poverty and maximize return on investment in development efforts and funds. However, leveraging such data-driven solutions necessitates access to open, well-documented, standards-compliant data.
The CGIAR Platform for Big Data Platform in Agriculture and its GARDIAN data ecosystem (featured in September’s Economist Intelligence Unit op-ed*) facilitate the discovery, visualization, and analysis of human and machine-interpretable, interoperable data that is necessary to catalyze and accelerate agricultural innovation and impact. GARDIAN provides access to thousands of datasets and publications in the agricultural sector, from CGIAR Centers and other organizations. It also provides tools to help institutions render data Findable, Accessible, Interoperable, and Reusable (FAIR), and enables visualization and analysis to advance research and development agendas.
Medha Devare is Senior Research Fellow with the International Food Policy Research Institute (IFPRI). She led the CGIAR System‘s Open Access/Open Data Initiative, and currently coordinates efforts to operationalize the FAIR Principles towards interpretable, reusable data across CGIAR’s 15 agricultural research for development Centers through its Big Data Platform. Medha is an agronomist with significant experience in microbial ecology and bioinformatics, and led the CSISA-Nepal project addressing sustainable intensification of farming systems in western Nepal before moving to the CGIAR System Office. Medha also has expertise in data management and semantic web tools, and was instrumental in the development of VIVO, a semantic web application for representing academic scholarship while at Cornell University.