  The role played by research scholars in the dissemination of scientific
knowledge on social media has always been a central topic in social media
metrics (altmetrics) research. Different approaches have been implemented to
identify and characterize active scholars on social media platforms like
Twitter. Some limitations of past approaches were their complexity and, most
importantly, their reliance on licensed scientometric and altmetric data. The
emergence of new open data sources like OpenAlex or Crossref Event Data
provides opportunities to identify scholars on social media using only open
data. This paper presents a novel and simple approach to match authors from
OpenAlex with Twitter users identified in Crossref Event Data. The matching
procedure is described and validated with ORCID data. The new approach matches
nearly 500,000 matched scholars with their Twitter accounts with a level of
high precision and moderate recall. The dataset of matched scholars is
described and made openly available to the scientific community to empower more
advanced studies of the interactions of research scholars on Twitter.
