Panel Discussion on Text and Data Mining

• Main Authors: Foo, Gavin, CROWLEY, Richard M., SOH, Jerrold
• Format: text
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Asian Studies; Intellectual Property Law; Library and Information Science
• Online Access: https://ink.library.smu.edu.sg/saulcopyright2022/Program/Recordings_slides/3; https://ink.library.smu.edu.sg/context/saulcopyright2022/article/1002/type/native/viewcontent/Part_4___Discussion_on_Text_and_Data_Mining__new2_.mp4; https://ink.library.smu.edu.sg/context/saulcopyright2022/article/1002/filename/0/type/additional/viewcontent/Segment_2_TDM.pdf
• Institution: Singapore Management University

The new Copyright Law enacted in 2021 comes with a Computational Data Analysis provision, enabling anyone with legal access to content, to conduct text and data mining analysis. The new provision will potentially create many new opportunities for libraries and researchers in their scientific endeavours. The panel presents three different perspectives (academic, government, and libraries) that will discuss the impact, the practical implications, and the possible scenarios that this new provision will create for Singapore’s research landscape.