Tony Sahama: University of Victoria, Canada
Kassaye Yitbarek Yigzaw: University Hospital of North Norway, Norway
Submission Status: Open | Submission Deadline: 30 June 2023
This collection welcomes articles presenting original research studies about the development, usability, or use of specific methodologies, novel software, or interesting scale applications of known methods for data privacy and security. This includes privacy-preserving data processing techniques such as federated machine learning, privacy-preserving record linkage, and data anonymization. The collection also welcomes studies that discuss practical issues when managing the data integrity of health information and ethical issues arising from potential breaches due to its insufficient privacy and security.