Objective
PaNOSC will build on top of the existing local meta-data catalogues and data repositories to provide federated services for making data easily Findable, Accessible, Interoperable, and Re-usable (FAIR). Extracting the scientific value of the experimental data produced in our RIs is not always an easy task. The raw data tends to be larger and larger and quite often required special skills for being correctly exploited. PaNOSC will develop and provide data analysis services to overcome these difficulties. The services will include notebook (Jupyter based), remote desktop applications and containers or VMs. These services will be provided locally by the RIs for their users (especially when they are on site or when the volume of data is too huge to be exported), the same services should also be available on the EOSC for general use. The data analysis services will offer in a single user experience the data, the software, the IT capacity and the necessary scientific support. All these services should be fully integrated into the EOSC catalogue, in terms of discovery, accessibility, and user authentication/authorisation, SLA, accounting etc. The PaNOSC cluster will also help introduce a new data culture to the user community – via training at each site and workshops on scientific data management and publishing practices. Best practices in data stewardship will be shared with other laboratories within the PaN community and other clusters. Experiences, trials and results will be shared openly via publications and meetings. The positive experience of implementing an Open Data policy and connecting data and services to the EOSC will help convince other PaN institutes still struggling with adopting the FAIR principles.
Fields of science
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
38000 Grenoble
France