G.E.M.S: An Innovative Agroinformatics Data Discovery and Analysis Platform

G.E.M.S: An Innovative Agroinformatics Data Discovery and Analysis Platform

G.E.M.S stands for Genetic, Environmental, Management, and Socioeconomic data. G.E.M.S is an agro-informatics data discovery and analysis platform which is FAIR compliant. It offers pro-privacy analytics as well as tailored access capabilities. It is jointly led by the College of Food, Agricultural and Natural Resource Sciences (CFANS) and the Minnesota Supercomputing Institute (MSI) at the University of Minnesota.

DgSecure OnDemand

DgSecure OnDemand

DgSecure OnDemand is a GDPR compliant cloud-based platform recommended by Amazon Webservices providing tailored privacy protection services, including anonymization, pseudonymization and access controls.

Open Science Framework

Open Science Framework

OSF is a secure cloud-based collaboration platform allowing project-level permissions to control of public or private access to project components and data.

European Genome-phenome Archive

European Genome-phenome Archive

The European Genome-phenome Archive (EGA) offers services for archiving, processing and distribution for all types of potentially identifiable genetic and phenotypic human data at the European Bioinformatics Institute (EBI). The site provides public access to a range of open data and services and controlled access to underlying genomic and phenotypic data (access requires registration and acceptance of terms of use including related to data handling and privacy).

UK ICO Publishes Anonymization Code of Practice

On November 20, 2012, the UK Information Commissioner’s Office (“ICO”) published “Anonymisation: Managing Data Protection Risk Code of Practice” (the “Code”). The purpose of the Code is to provide organizations with a framework for assessing the risks of anonymization. This article summarizes ICO’ approach to assessing the risks of re-identification.