As universities recognize the inherent value in the data they collect and hold, they encounter unforeseen challenges in stewarding those data in ways that balance accountability, transparency, and protection of privacy, academic freedom, and intellectual property. Two parallel developments in academic data collection are converging: (1) open access requirements, whereby researchers must provide access to their data as a condition of obtaining grant funding or publishing results in journals; and (2) the vast accumulation of 'grey data' about individuals in their daily activities of research, teaching, learning, services, and administration. The boundaries between research and grey data are blurring, making it more difficult to assess the risks and responsibilities associated with any data collection. Many sets of data, both research and grey, fall outside privacy regulations such as HIPAA, FERPA, and PII. Universities are exploiting these data for research, learning analytics, faculty evaluation, strategic decisions, and other sensitive matters. Commercial entities are besieging universities with requests for access to data or for partnerships to mine them. The privacy frontier facing research universities spans open access practices, uses and misuses of data, public records requests, cyber risk, and curating data for privacy protection. This paper explores the competing values inherent in data stewardship and makes recommendations for practice, drawing on the pioneering work of the University of California in privacy and information security, data governance, and cyber risk.
翻译:由于大学认识到其收集和持有的数据的内在价值,它们在以平衡问责制、透明度和保护隐私、学术自由和知识产权的方式管理这些数据方面遇到了无法预见的挑战。学术数据收集方面的两个平行发展是齐头并进的:(1) 开放访问要求,研究人员必须提供获取数据的机会,作为获得赠款资金或出版期刊成果的一个条件;(2) 个人在日常研究、教学、学习、服务和行政活动中大量积累“灰色数据”; 研究与灰色数据之间的界限模糊不清,使得评估与数据收集有关的风险和责任更加困难。许多数据集,包括研究和灰色数据,不属于HIPAA、FERPA和PII等隐私条例的范围。 大学正在利用这些数据进行研究、学习分析、学院评价、战略决定和其他敏感事项。商业实体正在包围大学,要求获取数据或建立伙伴关系。研究大学面临的隐私前沿是开放的获取做法、使用和滥用数据、公共记录请求、网络风险、网络风险、在加州隐私保护的固有数据管理方面,正在利用这些数据的内在做法和开创性数据管理。