Life sciences are increasingly more data intensive, resulting from improvements in large-scale gene sequencing and other “omics” techniques. There is need for large-scale sustainable data storage methods allowing secure and easy access to these complex data. Simultaneously, since life science research projects increasingly depend on more than one type of measurement, there is a need for integrating data of different types.
The group aims to steer discussion and coordinate efforts that create synergies among infrastructure developments around biodiversity data, and to connect these with RDA developments in the wider inter-disciplinary research infrastructure landscape. Infrastructures cannot operate in isolation but need to be part of the same value chain to deliver scientific outputs.