There are many definitions out there. In essence, Text and Data Mining (TDM) refers to the use of automated tools to analyse large amounts of text and data to uncover patterns, trends, and relationships. This process involves extracting data from various sources, including books, journal articles, social media posts, and other digital content. The goal is to generate new insights and knowledge that may not be immediately apparent through traditional research methods.
(Paraphrased from IFLA Statement on Text and Data Mining, 2013)
In the Singapore Copyright Act 2021, text and data mining (TDM) falls under the section on "Computational Data Analysis" (CDA) and is defined as:
(a) using a computer program to identify, extract, and analyse information or data from the work or recording; and
(b) using the work or recording as an example of a type of information or data to improve the functioning of a computer program in relation to that type of information or data.
The Act provides a legal framework under which Computational Data Analysis is permitted. Copies of copyrighted works or recordings of protected performances can be made for the purpose of TDM under specific conditions.
✅ What You Can Do:
🚫 What You Cannot Do:
📝 Key Takeaways for Library Users:
You are expected to comply with University policies and guidelines namely, Appropriate Use of Information Resources Policy, IT Usage Policy and Social Media Policy. Users will be personally liable for any infringement of Copyright and Licensing laws. Unless otherwise stated, all guide content is licensed by CC BY-NC 4.0.