Christian Schäfer, Merck KGaA, Merck Electronics, Darmstadt
In the laboratory, we face the challenge that digital aspects are often present in system-specific data structures, while measurements are frequently available without context. Access to this information is crucial for informed evaluation, highlighting the problem of isolated data and illustrating how we have arrived at a data-oriented approach.
We have contributed to the integration of laboratory instruments with the Module Type Package (MTP) standard, successfully implementing it in both the laboratory and production environments. This integration enables a manufacturer-independent and open data architecture that significantly improves the portability of data as well as the quality and speed of data processing. A key aspect of this implementation is the automation of both processes and the equipment used. By automating data collection and processing, we can achieve greater efficiency and consistency in operations. The use of the MTP standard allows for the seamless integration of new automation technologies into existing systems and retrofitting of legacy equipment for the utilization of digital data.
A particular focus is placed on the importance of FAIR Data, which ensures that data is findable, accessible, interoperable, and reusable. We will examine the challenges and solutions associated with implementing such systems and highlight the distinction between a measurement and an information point to enhance efficiency and innovation in research.
