Digital tools - Supporting systematic reviews & evidence synthesis. Where are we now and what might the future look like?

• Main Author: TAY, Aaron
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Open Science; Open Access; Open Data; Machine learning; Library and Information Science; Scholarly Publishing
• Online Access: https://ink.library.smu.edu.sg/library_research/209; https://ink.library.smu.edu.sg/context/library_research/article/1214/viewcontent/Aaron_tay_ALIA_HLA.pdf
• Institution: Singapore Management University

Invited talk for ALIA HLA Lunchtime Seminar Aug 2022. In this invited talk, I survey the new emerging discovery tools mostly powered by open scholarly data, from new mega discovery indexes like Lens.org, Semantic Scholar to what I call literature review mapping tools (eg ResearchRabbit, Connected Papers, Litmaps) as well as “AI” power tools like Elicit.org and Scite.ai that use machine learning to enhance discovery in various ways. I suggest keys to understand and assessing such tools. Given the target audience of health science librarians, I briefly survey current use of such tools in evidence synthesis as well as the standards (or lack thereof) around use of such tools.