FAIRifying Clinical Studies Metadata: A Registry for the Biomedical Research.

The data produced during a research project are too often collected for the sole purpose of the study, therefore hindering profitable reuse in similar contexts. The growing need to counteract this trend has recently led to the formalization of the FAIR principles that aim to make (meta)data Findable, Accessible, Interoperable and Reusable, for humans and machines. Since their introduction, efforts are ongoing to encourage FAIR principles adoption and to implement solutions based on them. This paper reports on the FAIR-compliant registry we developed to collect and serve metadata describing clinical trials. The design of the registry is based on the FAIR Data Point (FDP) specifications, the state-of-the-art reference for FAIRified metadata sharing. To map the metadata relevant to our use case, we have extended the DCAT-based semantic model of the FDP adopting well-established ontologies in the biomedical and clinical domain, like the Semanticscience Integrated Ontology (SIO). Current implementation is based on the Molgenis software and provides both a user interface and a REST API for metadata discovering. At present the registry is being loaded with the metadata of the 18 clinical studies included in the 'I FAIR Program', a project finalised to the dissemination of FAIR best practices among the clinical researchers in Sardinia (Italy). After a testing phase, the registry will be publicly available, while the new model and the source code will be released open source.

openEHR Is FAIR-Enabling by Design.

The FAIR Principles are a set of recommendations that aim to underpin knowledge discovery and integration by making the research outcomes Findable, Accessible, Interoperable and Reusable. These guidelines encourage the accurate recording and exchange of data, coupled with contextual information about their creation, expressed in domain-specific standards and machine-readable formats. This paper analyses the potential support to FAIRness of the openEHR specifications and reference implementation, by theoretically assessing their compliance with each of the 15 FAIR principles. Our study highlights how the openEHR approach, thanks to its computable semantics-oriented design, is inherently FAIR-enabling and is a promising implementation strategy for creating FAIR-compliant Clinical Data Repositories (CDRs).

COTS technologies for telemedicine applications.

PURPOSE: To demonstrate a simple low-cost system for tele-echocardiology, focused on paediatric cardiology applications. METHODS: The system was realized using open-source software and COTS technologies. It is based on the transmission of two simultaneous video streams, obtained by direct digitization of the output of an ultrasound machine and by a netcam showing the examination that is taking place. These streams are then embedded into a web page so they are accessible, together with basic video controls, via a standard web browser. The system can also record video streams on a server for further use. RESULTS: The system was tested on a small group of neonatal cases with suspected cardiopathies for a preliminary assessment of its features and diagnostic capabilities. Both the clinical and technological results were encouraging and are leading the way for further experimentation. CONCLUSIONS: The presented system can transfer clinical images and videos in an efficient way and in real time. It can be used in the same hospital to support internal consultancy requests, in remote areas using Internet connections and for didactic purposes using low cost COTS appliances and simple interfaces for end users. The solution proposed can be extended to control different medical appliances in those remote hospitals.