|To improve the quality of scientific work it is necessary to trace research data and provide it for a subsequent use. The data is acquired manually as well as automatically, generated with instruments and sensors of the involved devices in the particular scientific discipline. The Leibniz Institute for Baltic Sea Research Warnemünde runs a profiling monitoring station (GODESS) to measure physical and chemical environmental data at several depths of the Baltic Sea. The modular structure and configuration of the platform leads to changes in the data formats and the functions by which the data is analyzed. In the context of databases these changes correspond to changes in the relational schemata and SQL-functions. This thesis analyses the requirements to use changed SQL-functions on changed schemata. For that purpose it will be demonstrated how changes of SQL-functions could be recorded with techniques of temporal data management. Furthermore the recording of relational schema changes will be outlined. The applicability of SQL-functions on changed schemata and the applicability of SQL-functions on changed functions will be analyzed. The results will be summarized and presented in tables. Moreover options to compensate the changes to reuse the function are shown with techniques of schema integration. The link between data provenance and temporal data management will be described. A prototype to record changes of SQL-functions over a period of time is proposed. The thesis will be summarized and provides an outlook of possible future topics and further papers.