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A Data Commons for Food Security
2017
Social Science Research Network
We propose a 'data commons', formed through a licensing model that allows farmers to benefit from the datasets to which they contribute. Agricultural data is globally recognized for its importance in addressing food insecurity. This data is generated and used by a value chain of contributors, collectors, and consumers. Our licensing model addresses the crisis caused by a lack of data ownership rights for contributor farmers. Using the IAD framework we consider five case studies. These studies
doi:10.2139/ssrn.3008736
fatcat:32ivqevc4ng5nlyckjlguw5hee