7th JST/STM Seminar: Machine Readability in Scholarly Communications
Save the date for Thursday, 31st October 2024 - this will be a VIRTUAL event.
* Simultaneous translation will be provided.
Articles published in journals either in paper or PDF format can be read and understood by researchers, but not by machines. To enhance efficiency, accessibility, and reproducibility in the scientific ecosystem, research articles must be machine-readable allowing for automated data extraction, analysis, and integration, and also for advanced computational tools like AI to uncover new insights. As part of this machine readability rich metadata is crucial, as it provides structured information about the article’s content, making it easier to search, and to filter and organize research outputs. Persistent Identifiers (PIDs) add further value by ensuring that articles and their associated data can be reliably located and cited over time. Together, machine-readability, metadata, and PIDs enhance the discoverability, accuracy, and long-term impact of scientific work, making research more accessible and useful for the global community.
This joint seminar with the Japan Science and Technology (JST) and the International Association of STM Publishers (STM) will bring together speakers from Japan and the international community to explain some aspects of the current use of metadata and PIDs within the scholarly record, and to give some insight into the future of machine readability.
Programme
9:30 | Welcome by JST - Hiroyuki Kaneko (JST) |
9:35 | Welcome by STM - Caroline Sutton (STM) |
9:45 | About J-STAGE long- and mid-term strategy (tentative) - Ritsuko Nakajima (JST) |
9:50 | What is a PID? Why you should care about PIDs in scholarly publications - Heather Staines (Delta Think) |
10:10 | Importance of Persistent Identifiers and making metadata rich (tentative) - Naohiro Shichijo (Hitotsubashi University) |
10:30 | Break |
10:35 | Are identifiers needed when we have AI? - Geoffrey Bilder (Consultant) |
10:55 | Current state of research on large-scale language models and prospects for utilizing scientific papers - Akiko Aizawa (NII) |
11:15 | Questions/Panel Discussion, Moderation by: Caroline Sutton (STM) and Ritsuko Nakajima (JST) |
11:45 | Adjourn |
*Simultaneous translation will be provided.
*Please note that seminar contents, start and finish time are subject to change.
Registration Please click the link below and fill out the form - Attendance is free of charge.
Registration form (external website)
About participation in Webinar via Zoom
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31st October 2024
9.30 – 11.45 am JST
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