Copyright Issues Involving TDM

TDM entails the transformation of data into valuable knowledge by processing it to identify patterns and trends. This process can be likened to the process of panning for gold, which necessitates a substantial amount of time and effort to locate even a small amount of metal. In the same way, the concept of da-ta mining remains unchanged if we substitute gold with information and panning with algorithms. In the same way that gold mining entails the extraction of precious nuggets from immense quantities of rock, TDM endeavours to extract valuable information from large datasets. Nevertheless, TDM processes may result in copyright issues if the dataset contains copyrighted original work, such as original text, photographs, or videos. In addition, database producers who have compiled databases are safeguarded under copyright law if the data is creatively selected or arranged to accomplish the original database. 

The data mining process entails the accessing, collection, storage (copying), transformation, and transformation of original works. The input phases of generative AI can be divided into three stages from a TDM perspective: data access (step 1), data extraction and reproduction (step 2), and data mining and knowledge-edge discovery (step 3). Legal issues are most likely to arise during the second phase.[1]