{"title":"Protecting Privacy in Digital Records: The Potential of Privacy Enhancing Technologies","authors":"Victoria L. Lemieux, John Werner","doi":"10.1145/3633477","DOIUrl":null,"url":null,"abstract":"<p>With increased concerns about data protection and privacy over the past several years, and concomitant introduction of regulations restricting access to personally information (PI), archivists in many jurisdictions now must undertake ‘sensitivity reviews’ of archival documents to determine if they can make those documents accessible to researchers. Such reviews are onerous, given increasing volume of records, and complex, due to how difficult it can be for archivists to identify whether records contain personal information (PI) under the provisions of various laws. Despite research into the application of tools and techniques to automate sensitivity reviews, effective solutions remain elusive. Not yet explored as a solution to the challenge of enabling access to archival holdings subject to privacy restrictions is the application of privacy enhancing technologies (PETs) - a class of emerging technologies that rest on the assumption that a body of documents is confidential or private and must remain so. While seemingly being counter-intuitive to apply PETs to making archives more accessible, we argue that PETs could provide an opportunity to protect PI in archival holdings whilst still enabling research on those holdings. In this paper, to lay a foundation for archival experimentation with use of PETs, we contribute an overview of these technologies based on a scoping review and discuss possible use cases and future research directions.</p>","PeriodicalId":54310,"journal":{"name":"ACM Journal on Computing and Cultural Heritage","volume":"38 1","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Journal on Computing and Cultural Heritage","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3633477","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
With increased concerns about data protection and privacy over the past several years, and concomitant introduction of regulations restricting access to personally information (PI), archivists in many jurisdictions now must undertake ‘sensitivity reviews’ of archival documents to determine if they can make those documents accessible to researchers. Such reviews are onerous, given increasing volume of records, and complex, due to how difficult it can be for archivists to identify whether records contain personal information (PI) under the provisions of various laws. Despite research into the application of tools and techniques to automate sensitivity reviews, effective solutions remain elusive. Not yet explored as a solution to the challenge of enabling access to archival holdings subject to privacy restrictions is the application of privacy enhancing technologies (PETs) - a class of emerging technologies that rest on the assumption that a body of documents is confidential or private and must remain so. While seemingly being counter-intuitive to apply PETs to making archives more accessible, we argue that PETs could provide an opportunity to protect PI in archival holdings whilst still enabling research on those holdings. In this paper, to lay a foundation for archival experimentation with use of PETs, we contribute an overview of these technologies based on a scoping review and discuss possible use cases and future research directions.
期刊介绍:
ACM Journal on Computing and Cultural Heritage (JOCCH) publishes papers of significant and lasting value in all areas relating to the use of information and communication technologies (ICT) in support of Cultural Heritage. The journal encourages the submission of manuscripts that demonstrate innovative use of technology for the discovery, analysis, interpretation and presentation of cultural material, as well as manuscripts that illustrate applications in the Cultural Heritage sector that challenge the computational technologies and suggest new research opportunities in computer science.