The SAS Life Science Analytics Framework (LSAF) is a comprehensive platform designed for data governance and analysis specifically within the life science industry. It facilitates end-to-end data management, covering aspects from standards and study metadata management to ensuring reproducibility and traceability. LSAF is an open and flexible framework that supports integration with other platforms through APIs and allows the use of open-source analytics tools like R and Python.

LSAF provides a robust environment for version control and workspace management. Users can access the LSAF environment via a browser, where they can customize their repository view and folder structure according to their needs. The workspace status feature allows users to check the status of files, compare versions with the repository, and manage changes effectively. Additionally, access control can be implemented to restrict visibility based on departmental needs.

Workflows are integral to the LSAF framework, particularly for managing the development, testing, and promotion of programs. They involve multiple stages, including program development, quality control, and final approval. Each workflow can be assigned to individuals, allowing for task tracking and management. This structured approach ensures that programs undergo thorough testing and validation before being promoted, thereby maintaining high-quality standards.