Speaker
Description
FAIR data, that is making data findable, accessible, interoperable and reusable, is becoming
increasingly adopted across a number of disciplines for many reasons. Within the fusion
community, at least with regards to experimental data, while each site has elements of the
FAIR principles, there is a lack infrastructure providing harmonised search and access
mechanism for data at multiple sites. The goal of the FAIR4Fusion project is to develop
demonstrators to realise the benefit of a community based FAIR approach to metadata
integration and design a blueprint architecture for a fully featured service meeting all of the
gathered user requirements, plus additional requirements based on the demonstrators and
extending to not only cover experimental data, but also modelling and simulation data.
In this talk, we introduce the FAIR concepts and how we anticipate this can be applied
across the community while still maintain each sites autonomy and existing infrastructures
and processes. We also show how this can be achieved, at least within the scope of this
project, by building upon existing work already performed by the community, reducing the
costs for implementation, and describe efforts to generalize this to improve both scalability
and performance. We also introduce the initial blueprint architecture and seek to elicit
input from the audience to provide additional requirements.
| Speaker's Affiliation | UKAEA |
|---|---|
| Member State or IGO | United Kingdom |
