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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 such as 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 data set 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.<\/jats:p>","DOI":"10.1162\/qss_a_00250","type":"journal-article","created":{"date-parts":[[2023,3,7]],"date-time":"2023-03-07T09:44:47Z","timestamp":1678182287000},"page":"314-324","update-policy":"https:\/\/doi.org\/10.1162\/mitpressjournals.corrections.policy","source":"Crossref","is-referenced-by-count":24,"title":["An open data set of scholars on Twitter"],"prefix":"10.1162","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1021-059X","authenticated-orcid":true,"given":"Philippe","family":"Mongeon","sequence":"first","affiliation":[{"name":"School of Information Management, Dalhousie University, Halifax, Nova Scotia, Canada"},{"name":"Centre interuniversitaire de recherche sur la science et la technologie (CIRST), Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al, Montr\u00e9al, Qu\u00e9bec, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0247-4771","authenticated-orcid":true,"given":"Timothy D.","family":"Bowman","sequence":"additional","affiliation":[{"name":"School of Information Sciences, Wayne State University, Detroit, MI, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7465-6462","authenticated-orcid":true,"given":"Rodrigo","family":"Costas","sequence":"additional","affiliation":[{"name":"Centre for Science and Technology Studies (CWTS), Leiden University, Leiden, The Netherlands"},{"name":"DSI-NRF Centre of Excellence in Scientometrics and Science, Technology and Innovation Policy (SciSTIP), Stellenbosch University, Stellenbosch, South Africa"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"281","published-online":{"date-parts":[[2023,5,1]]},"reference":[{"key":"2023062118180443200_bib1","doi-asserted-by":"publisher","DOI":"10.23640\/07243.16750535.V1","volume-title":"ORCID Public Data File 2021","author":"Blackburn","year":"2021"},{"issue":"6587","key":"2023062118180443200_bib2","doi-asserted-by":"publisher","first-page":"1344","DOI":"10.1126\/science.abq1541","article-title":"Riding the Twitter wave","volume":"375","author":"Brainard","year":"2022","journal-title":"Science"},{"issue":"2","key":"2023062118180443200_bib3","doi-asserted-by":"publisher","first-page":"771","DOI":"10.1162\/qss_a_00047","article-title":"Large-scale identification and characterization of scholars on Twitter","volume":"1","author":"Costas","year":"2020","journal-title":"Quantitative Science Studies"},{"issue":"5","key":"2023062118180443200_bib4","doi-asserted-by":"publisher","first-page":"595","DOI":"10.1002\/asi.24427","article-title":"\u201cHeterogeneous couplings\u201d: Operationalizing network perspectives to study science-society interactions through social media metrics","volume":"72","author":"Costas","year":"2021","journal-title":"Journal of the Association for Information Science and Technology"},{"issue":"10","key":"2023062118180443200_bib5","doi-asserted-by":"publisher","first-page":"2003","DOI":"10.1002\/asi.23309","article-title":"Do \u201caltmetrics\u201d correlate with citations? 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