Youris.com, March 2021
Even with the advent of vaccines, strategies for rapid and affordable testing for COVID-19 are still paramount. The lack of evidence that the current vaccines can completely stop people from being infected and the emergence of virus variants make widespread testing crucial. But what do we mean as a “rapid” test and how do they compare to “standard” ones?
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Multi-centre projects—such as EU framework consortia—are expected to create strong interactions between different groups. How can we evaluate and visualise the collaborative effort in a clear, understandable way?
If a picture is worth a thousand words, a graphic can illustrate scientific interactions with amazing clarity. See, for example, the picture below, which I made for the Publishable Final Report of an EU consortium.
The graph is based on a sophisticated analysis of 116 peer-reviewed publications originated from the consortium. Principal investigators (PIs) from the consortium are represented as red balls, whereas all other co-authors are represented as blue balls. Authors who published at least one paper together are connected by a line. In this way, it’s easy to visualise the interconnection between groups that have worked together. In our figure, a significant number of PIs have co-authored one or more papers (red lines) and are part of a significant co-publishing network, which indicates a high level of collaboration.
Even without looking at the underlying data, non-technical readers can get the correct idea that the consortium established fruitful scientific collaborations.
I am proficient with advanced bibliometric tools for measuring and visualising scientific publications and collaborations. Using these powerful analyses, I provide my clients with useful tools for strategic planning and evaluation and with self-explaining data for their reports.