reanalysable
Reanalysable is an adjective used to describe data or information that can be subjected to a new or repeated analysis. This means that the original data is preserved in a format and context that allows for its examination using different methods, parameters, or research questions. The concept of reanalysability is particularly important in scientific research, where the ability to re-examine data is crucial for verifying findings, exploring new hypotheses, and ensuring the reproducibility of results.
For data to be reanalysable, it typically needs to be accompanied by sufficient metadata, which includes information
In fields like statistics, machine learning, and social sciences, reanalysable datasets promote scientific rigor and trust.