“The Covid-19 pandemic has triggered an explosion of knowledge, with more than 200,000 papers published to date. At one point last year, scientific output on the topic was doubling every 20 days. This huge growth poses big challenges for researchers, many of whom have pivoted to coronavirus research without experience or preparation.
Mainstream academic search engines are not built for such a situation. Tools such as Google Scholar, Scopus and Web of Science provide long, unstructured lists of results with little context.
These work well if you know what you are looking for. But for anyone diving into an unknown field, it can take weeks, even months, to identify the most important topics, publication venues and authors. This is far too long in a public health emergency.
The result has been delays, duplicated work, and problems with identifying reliable findings. This lack of tools to provide a quick overview of research results and evaluate them correctly has created a crisis in discoverability itself. …
Building on these, meta-aggregators such as Base, Core and OpenAIRE have begun to rival and in some cases outperform the proprietary search engines. …”