Please note this group has transitioned from the previous ELIXIR Bridging Force IG.
The life sciences are becoming increasingly data intensive, owing much to the huge improvements seen in large-scale gene sequencing and other molecular “omics” techniques. There is a need for large-scale sustainable and interoperable data management and storage methods that allow secure and easy access to and reuse of these highly complex data. Simultaneously, as omics-focussed life science research projects increasingly depend on more than one type of measurement, there is a widely felt need for the ability to integrate different data types. Phenotyping, bioimaging and biosample management can all be considered part of life science data, and omics-focussed life science data systems will need to interoperate with these. Different and diverse sectors of the life sciences, such as health, food production, bioindustry and the environment experience similar issues. Interoperability between different research domains is thus a necessary condition to allow for the emergence of cross-disciplinary data. It is no surprise that the life sciences gave birth to the FAIR principles.
The Life Science Data Infrastructures Interest Group is formed to serve as a bridge between life science data infrastructures in different regions of the world and relevant RDA Interest Groups, including both specific subtopics of the life sciences such as agricultural data, marine data, structural biology, toxicogenomics, as well as generic topics that can/should be applied in the life sciences such as big data analysis, federated identity management, and data publishing.
The IG aspires to have meaningful representation from diverse geographical regions including North and South America, the EU, UK and Eastern Europe; Africa, Asia and Oceania; and will actively seek participation from under-represented groups and the global South. The IG also aims for fair gender representation and inclusivity in all its activities.