Data protection demands proactive consideration of numerous issues and cultural shifts, even as data protection tools and practices evolve. The variety and volume of institutional data are phenomenal, and data management is increasingly decentralized. Large data sets can easily become unstable and vulnerable to corruption, which can lead to a failure to keep the data accurate, complete, and whole. This paper defines data protection as “the principles and processes for protecting data from corruption, misapplication, compromise, misuse, and loss.” Data protection leverages evolving technology and emerging practices to focus on how to apply the three critical information security imperatives: confidentiality, integrity, and availability.
Citation for this work: Fary, Michael, et al. Data Protection Primer for Higher Education: Environmental Considerations, Culture, and Practices. ECAR working group paper. Louisville, CO: ECAR, June 20, 2016.