New Article: “Mining and Analysing Invoice Data From Elsevier Relative To Hybrid Open Access”
Mining and Analysing Invoice Data From Elsevier Relative To Hybrid Open Access
Publishers rarely make publication fee spending for hybrid journals transparent. Elsevier is a remarkable exception, as the publisher provides open and machine-readable data relative to its central invoicing with funding bodies and fee waivers at the article level. This blogpost illustrates how to mine Elsevier full-texts for these data with the data science tool R and presents new insights by analysing the resulting dataset: of 70,657 articles published open access in 1,753 hybrid journals from 2015 to date, around one third of the publication fees were paid through central agreements. Nevertheless, the majority of funding sources for hybrid open access remains unclear.
Direct to Full Text Article (approx. 3000 words)
Hat Tip: CAUL News
About Gary Price
Gary Price (firstname.lastname@example.org) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.