The anonymization of qualitative interview data is of high importance. For the purpose of secondary use of data, anonymized data is essential. While automated processes in anonymization tasks are becoming more and more common, we provide a tool that keeps researcher in control of their data. Automated decisions give all-in-one solutions, but studying qualitative interview data depends on the needs of every single researcher. We provide a tool that enables researcher to make individual decisions with the information needed, on the level required. In this report, we propose a solution to anonymize qualitative interview data with the purpose to create own coding schemes and individual abstraction levels. We built a tool that assists in working with textual interview data. By using the tool, processes can be optimized and important information can be obtained at the same time.     «

The anonymization of qualitative interview data is of high importance. For the purpose of secondary use of data, anonymized data is essential. While automated processes in anonymization tasks are becoming more and more common, we provide a tool that keeps researcher in control of their data. Automated decisions give all-in-one solutions, but studying qualitative interview data depends on the needs of every single researcher. We provide a tool that enables researcher to make individual decisions...     »