Modern development environments, particularly in applied and experimental domains such as semiconductor metrology, face growing demands for managing large volumes of measurement data in structured, interoperable, and reusable ways. However, smaller academic institutions, research transfer organizations, as well as small companies, often still lack access to scalable and affordable research data management (RDM) tools. Instead, they rely on spreadsheets, shared folders, and a lot of human discipline to organize data, leading to inconsistent practices, weak traceability, and limited reuse.