The SpectraFit process finally merges structured data with non-structured data to establish a singular and reliable data source for report creation. This approach effectively eliminates errors that may arise from out-of-sync data copies or cause errors ; this data handling concept is inspired by the idea of a Single Source of Truth (SSOT). By adopting this concept, consistency and accuracy throughout the report's contents should be ensured. In order to export the report as a text file, object-oriented supporting file formats such as JSON (JavaScript Object Notation) or toml (Tom's Obvious, Minimal Language) 58 are required. These file formats are widely supported by different programming languages, thus enabling researchers to conveniently share and collaborate on their scientific results ; both file formats are supported and can be converted with the built-in plugin of SpectraFit. An excellent example of this is the Jupyter Notebook 21 and its JSON file format, renamed as ipynb 59 , which allows users to store all types of data (text, numbers, images, and other media) and actions (input, prompt commands, etc.) as text. The fitting data is aimed to be exported into a NoSQL or Graph database , which can help identify global and hidden trends among fitting projects. Ultimately, our goal is to provide a playground for scientific creativity where ideas can be developed and explored.