An Iterative Data Cleansing and Migration Framework for Research Information Systems Sammelbandbeitrag uri icon



  • This contribution focuses on a newly developed “Framework for Iterative Data Cleansing and Migration” (FiDM), which describes a process for achieving a quality-assured research information system, which could be implemented as a prototype. The open source solution VIVO, an ontology-based linked data software, was used to test the applicability of FiDM and to identify key requirements and findings for the general migration process. The use of FiDM supports public institutions in the partial standardization of the research management process and the integration of existing research data as well as metadata using appropriate research information systems. While ensuring data quality, networking between science, industry and the public can be established and the visibility of research achievements can be increased. FiDM was implemented and evaluated as an example at University of Applied Sciences Mittweida as part of the migration process to the RIS VIVO.



  • 2021


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