Assessing the quality of data involves several factors. Peer review is a fundamental aspect, ensuring that the data has been scrutinized by experts in the field. Another key factor is the reproducibility of results, which confirms that findings are consistent when experiments are repeated. Metadata that describes how the data was collected, including the conditions and methods used, also contributes to its reliability.
