👉 Overcensoriousness, also known as incomplete data bias, refers to a situation where researchers or analysts do not collect all relevant information about individuals who might be affected by their study. This can occur due to various reasons such as data collection errors, lack of transparency in reporting methods, or even deliberate manipulation of data. In the context of research ethics and data protection laws, overcensoriousness is a significant concern because it undermines trust in the research process and can lead to inaccurate and incomplete
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