Data Integrity: Ensuring that data collected from different instruments can be combined without loss or distortion. Efficiency: Reducing the time and effort required to transfer and process data between different analytical tools. Cost-effectiveness: Minimizing the need for redundant equipment and software licenses. Scalability: Facilitating the expansion of research capabilities by integrating new instruments into existing setups.
