Towards Operational Research Infrastructures with FAIR Data and Services

Abstract

Environmental research infrastructures aim to provide scientists with facilities, resources and services to enable scientists to effectively perform advanced research. When addressing societal challenges such as climate change and pollution, scientists usually need data, models and methods from different domains to tackle the complexity of the complete environmental system. Research infrastructures are thus required to enable all data, including services, products, and virtual research environments is FAIR for research communities: Findable, Accessible, Interoperable and Reusable. In this last chapter, we conclude and identify future challenges in research infrastructure operation, user support, interoperability, and future evolution.

Intelligently driven performance management: an enabler of real-time research forecasting for innovative commercial agriculture

“…Although the connected research workflow proposed here is very beneficial, some issues should be handled with care in practicing it in the research development process. This is due to the complexity of different perspectives of research implementation and many resources associated with it, including digital assets, that are required to be shared and optimized on the FAIR principle (Ogryczak et al 2014 ; Zhao et al 2020 ).…”