Open Access enables new tools and features

• Main Author: TAY, Aaron
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: open access; machine learning; scholarly meta data; Scholarly Communication; Scholarly Publishing
• Online Access: https://ink.library.smu.edu.sg/library_research/197; https://ink.library.smu.edu.sg/context/library_research/article/1201/viewcontent/Aaron_tay_inconcess2022.pdf
• Institution: Singapore Management University

Open Access levels are now at a tipping point. According to Digital Science’s Dimensions for the year 2020, Open Access surpassed subscription publication globally for the first time (Hook, 2021). Similarly in Dec 2020, with Elsevier agreeing to deposit open references to Crossref (the last major publisher to do), over 90% of Crossref references are now open (Hutchin, 2021). The combination of these two trends, both Open Access to full text and Open Scholarly metadata as well as Machine learning techniques has led to a rise of new tools in areas such as literature mapping , new indexes and new features like automating detection of citation context. In this short session, we will show some of these tools and discuss the possible implications for librarians and research community as a whole. Hook, D. (2021). Open access surpasses subscription publication globally for the first time. Dimensions blog Hutchins, B. I. (2021). A tipping point for open citation data. Quantitative science studies, 2(2), 433-437.