Natural Sciences/Biological sciences

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IG

Life Science Data Infrastructures 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.

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IG

Biodiversity Data Integration IG

Status: 
Recognised & Endorsed

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.

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