The GUISDAP analysis software in Jupyter notebook as a tool for the FAIRness of the current EISCAT data

The present era of rapid technological advances creates a challenge for data providers and scientists to create and maintain FAIR data and services not just for future operations but also for historical data gathered and analysed with technologies that are slowly phasing out of their usage. GUISDAP is an open source software package, written in Matlab, C and Fortran and provided and maintained by EISCAT, for analysis and visualisation of its incoherent scatter radar data as well as for some other radars in the world. As the new incoherent radar system (EISCAT_3D) is built, the current mainland radar systems will cease their operations. Thus, the development and maintenance of the compatibility of GUISDAP with newer computational technologies will become more challenging.

One way how to preserve GUISDAP operability and accessibility by the user community is to make it accessible through a Jupyter notebook docker deployment through EISCAT resources and in the frame of an EOSC project. This will help to ensure the FAIRness of historical EISCAT data by providing tools for reanalysis and visualisation that will be accessible by any potential EISCAT user. This poster will present our project with GUISDAP in a Jupyter notebook environment.