Privacy protection framework for open data: Constructing and assessing an effective approach

Abstract

Open data has revolutionized knowledge-sharing, providing economic and cultural benefits worldwide. However, releasing government, personal, or research data often raises concerns about data security and ethical implications, leading to infringements on privacy and related disputes. The Privacy Protection Framework for Open Data (PPFOD) is proposed to address these challenges. This framework aims to establish clear privacy protection measures and safeguard individuals' privacy rights. Existing privacy protection practices were examined using content analysis, and 36 indicators across five dimensions were developed and validated through an empirical study with 437 participants. The PPFOD offers comprehensive guidelines for data openness, empowering individuals to identify privacy risks, guiding businesses to ensure legal compliance and prevent data leaks, and assisting libraries and data institutions in implementing effective privacy education and training programs, fostering a more privacy-conscious and secure data era.