The term 'data ethics' in data science refers to the moral implications and responsibilities of collecting, analyzing, and utilizing data. It encompasses issues related to privacy, consent, transparency, and fairness in data handling. Data ethics emphasizes the need for organizations to prioritize ethical standards when processing data, ensuring that individual rights are respected, and biases are minimized in algorithms. As reliance on data-driven decisions grows, adherence to data ethics is crucial for building public trust and maintaining a positive reputation in the data science field.