  This paper presents an analysis of the publication of datasets collected via
Google Dataset Search, specialized in families of RNA viruses, whose
terminology was obtained from the National Cancer Institute (NCI) thesaurus
developed by the US Department of Health and Human Services. The objective is
to determine the scope and reuse capacity of the available data, determine the
number of datasets and their free access, the proportion in reusable download
formats, the main providers, their publication chronology, and to verify their
scientific provenance. On the other hand, we also define possible relationships
between the publication of datasets and the main pandemics that have occurred
during the last 10 years. The results obtained highlight that only 52% of the
datasets are related to scientific research, while an even smaller fraction
(15%) are reusable. There is also an upward trend in the publication of
datasets, especially related to the impact of the main epidemics, as clearly
confirmed for the Ebola virus, Zika, SARS-CoV, H1N1, H1N5, and especially the
SARS-CoV-2 coronavirus. Finally, it is observed that the search engine has not
yet implemented adequate methods for filtering and monitoring the datasets.
These results reveal some of the difficulties facing open science in the
dataset field.
