确保大数据的道德使用：安全数据访问的经验教训。
Ensuring the ethical use of big data: lessons from secure data access.
作者信息
Wiltshire Deborah, Alvanides Seraphim
机构信息
GESIS Leibniz Institute for the Social Sciences, Germany.
GESIS Leibniz Institute for the Social Sciences, Germany and Northumbia University, UK.
出版信息
Heliyon. 2022 Feb 18;8(2):e08981. doi: 10.1016/j.heliyon.2022.e08981. eCollection 2022 Feb.
Big data holds great potential for research and for society, large volumes of varied data can be produced and made available to researchers much faster compared to 'traditional' data. Whilst this potential is recognized, there are ethical concerns which users of big data must consider. With the volume and variety of information in big data, comes a greater risk of disclosure. Researchers and data access services working with highly detailed and sensitive, secure data have grappled with this for many years. The sector has developed both ethical frameworks and statistical disclosure control techniques which could be utilized by those working with big data. We discuss the challenges, present some of the frameworks and techniques and conclude with recommendations for secure data access of big data.
大数据在研究和社会领域具有巨大潜力，与“传统”数据相比，能够更快地产生大量多样的数据并提供给研究人员。尽管人们认识到了这种潜力，但大数据使用者必须考虑一些伦理问题。随着大数据中信息的数量和种类增加，披露风险也更大。多年来，研究人员以及处理高度详细、敏感且安全数据的数据访问服务机构一直在应对这一问题。该领域已经开发了伦理框架和统计披露控制技术，大数据从业者可以加以利用。我们讨论了相关挑战，介绍了一些框架和技术，并就大数据安全数据访问给出了建议。
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