Complex processes, simple solution
Our approach was to analyze the overall process and identify important fundamental process steps. Close communication with the scientists and a high test coverage of the final product were of great importance.
The focus of our work was on data quality and the FAIR principles. The acronym FAIR stands for Findable, Accessible, Interoperable and Reusable.
It was important:
• to output the individual formats of the analysis technologies and procedures without errors,
• calculate measured values correctly
• and adhere to scientific standards.
We succeeded in preparing the various formats and results clearly in a web application. The basis for this was formed by the various result files of the individual processes. Using these, we reverse-engineered and derived input, output and the process function. Based on our findings, we programmed a first version for an analysis procedure. An important aspect of this project was the test runs with the scientists. In addition to automated data processing, the application presents the results and formats in a clear and structured way so that the institute's staff can use the data efficiently. In the future, the entire analysis process is to be fully automated so that the scientists can concentrate on interpreting the data.