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Science Demonstrator 5 showcases a “sensor registry” that aims at supporting the management of sensors deployed for in-situ measurements. Common sensors or families of sensors are used across different research infrastructures, for example, oxygen optodes that are equipped on platforms in multiple research infrastructures. The goal of this work is to define common methods to access the sensor metadata in such cases. The sensor registry applies the design principle of data catalogue developed in WP8, and uses data technologies and standards from the OGC Sensor Web Enablement family including SensorML, Observations and Measurements (O&M), and Sensor Observation Service (SOS). It brings together a marine domain implementation of these standards (the Marine SWE profile) developed by several European projects demonstrating the viability for future sensor and observation activities. The service can be integrated to various types of platforms, deep-sea observatories (e.g., EMSO), marine gliders (e.g., EuroGOOS) as well as solid earth (e.g., EPOS) or atmosphere observations (e.g., ICOS). It can also be used to track usage of specific sensor models (e.g., CO2) across the RI ‘s observation networks.

Science Demonstrator 6 describes a service prototype that supports aerosol scientists in studying new atmospheric particle formation events by moving data analysis from local computing environments to interoperable infrastructures, thus harmonizing data analysis itself and more importantly the syntax and semantics of data derived from analysis. As researchers interpret primary data and thus gain information and transfer information into knowledge, we are studying and advancing in particular some technical aspects of a knowledge infrastructure i.e., a robust network of scientists, artefacts such as virtual research environments and research data, and institutions such as research infrastructures and e-Infrastructures that acquire, maintain and share scientific knowledge about the natural world. The science demonstrator showcases a possible architecture of a socio-technical infrastructure that “transforms data into knowledge.” The proposed approach highlights a range of novel possibilities, in particular enabling researchers to focus on data analysis and interpretation while leaving data access and transformation from and to systems to interoperable infrastructure. It significantly contributes to implementing the global agenda of FAIR data by promoting the notion of “FAIR by Design”, weaving data FAIRness into the fabric of infrastructures. It builds on the principle not to leave making data FAIR to researchers but to guarantee it by design of well-engineered infrastructures. The demonstrator is first and foremost of primary interest to a specific scientific community, namely the various aerosol research groups that study new particle formation events.

Science Demonstrator 7 illustrates how a LifeWatch researcher can easily upload and integrate an analysis algorithm in D4Science, and share it with other researchers in a VRE. The use case proposed an integration solution that links the D4Science/gCube VRE to the LifeWatch RI and to the EGI e-Infrastructure.  This integration, for example, enables individual researchers to repeat and reuse algorithms at will, run trend analysis, and add new parameters and custom data. The VRE provides provenance registration that improves reproducibility and also allows retention of computation results in the user’s workspace. This facilitates editing and adaptation of algorithms, features that are not provided by the existing LifeWatch ICT.