The field of software security and data management is rapidly evolving, with a growing emphasis on developing innovative solutions to address the complexities of modern software systems. Recent research has focused on improving software supply chain security, enhancing data sharing and collaboration, and developing more effective methods for detecting and preventing vulnerabilities. One notable trend is the adoption of FAIR principles, which aim to make digital artifacts more findable, accessible, and reusable. This has led to the development of new frameworks and tools for managing and sharing data, such as data lakes and enterprise data science platforms.Additionally, there is a growing recognition of the importance of software engineering in research, with a focus on developing better software that enables better research. This has led to the creation of new datasets and tools for analyzing and improving research software.Overall, the field is moving towards a more collaborative and open approach to software development and data management, with a focus on developing innovative solutions to address the complex challenges of modern software systems. Noteworthy papers include: Package Dashboard, which provides a unified platform for supply chain analysis, OpenDORS, which presents a dataset of openly referenced open research software, and One Detector Fits All, which introduces a robust detector for malicious packages.