Continuous Analysis: Enhancing Reproducibility in Scientific Research
Continuous Analysis (CA) enhances reproducibility in scientific research by integrating DevOps principles, such as Continuous Integration (CI) and Continuous Deployment (CD), with DataOps and MLOps. This approach manages data and analysis lifecycles, ensuring consistent replication of results using shared data, code, and methods, thereby addressing challenges in complex workflows, software dependencies, and data sharing practices.
