Overview

Research Data Lifecycle Security Framework Mapping

For large-scale research facilities (e.g., synchrotrons or HPC centers), mapping the Research Data Lifecycle stages to established cybersecurity frameworks such as NIST and ISO/IEC 27001 provides a structured approach to protecting scientific data from acquisition through long-term reuse. This mapping ensures that security controls are applied consistently at each stage—covering access control, integrity verification, secure storage, and controlled sharing. In large facilities where data volumes, user communities, and distributed infrastructures are complex, such alignment helps standardize security practices across beamlines, computing clusters, and data repositories. It also supports compliance with institutional policies, international regulations, and funding requirements while maintaining trust in the integrity and reproducibility of scientific results. Ultimately, integrating lifecycle-based security with recognized frameworks strengthens data governance and safeguards valuable experimental data throughout its operational and archival lifetime.