I give a short introduction to data ethics. I begin with some background information and societal context for data ethics. I then discuss data ethics in mathematical-science education and indicate some available course material. I briefly highlight a few efforts -- at my home institution and elsewhere -- on data ethics, society, and social good. I then discuss open data in research, research replicability and some other ethical issues in research, and the tension between privacy and open data and code, and a few controversial studies and reactions to studies. I then discuss ethical principles, institutional review boards, and a few other considerations in the scientific use of human data. I then briefly survey a variety of research and lay articles that are relevant to data ethics and data privacy. I conclude with a brief summary and some closing remarks. My focal audience is mathematicians, but I hope that this chapter will also be useful to others. I am not an expert about data ethics, and this chapter provides only a starting point on this wide-ranging topic. I encourage you to examine the resources that I discuss and to reflect carefully on data ethics, its role in mathematics education, and the societal implications of data and data analysis. As data and technology continue to evolve, I hope that such careful reflection will continue throughout your life.

翻译：我提供了一份关于数据伦理学的简短导论。首先介绍数据伦理学的背景信息和社会语境，随后讨论数学科学教育中的数据伦理学问题，并列举部分现有的课程资源。接着简要介绍所在机构及其他机构在数据伦理、社会与社会福祉方面的若干努力，并探讨研究中的开放数据、研究可复现性及其他伦理问题，以及隐私与开放数据和代码之间的张力，同时提及几项具有争议的研究及其引发的反响。随后阐述伦理原则、机构审查委员会以及人类数据科学应用中的其他考量因素，并简要综述与数据伦理和数据隐私相关的各类研究论文与通俗文章。最后以简短总结与结语收尾。本文主要面向数学家群体，但亦希望本章内容对其他读者有所助益。本人并非数据伦理学专家，本章仅为这一广泛议题提供入门起点。建议读者深入研读文中提到的资源，认真反思数据伦理学、其在数学教育中的角色，以及数据与数据分析的社会影响。随着数据与技术的持续演进，希望这类审慎反思能贯穿诸位终生。