Long-Term Preservation of Emotion Analyses with OAIS: A Software Prototype Design Approach for Information Package Conversion in KM-EP

Ensuring the long-term preservation of complex, multimodal research, data such as video-based Emotion Analyses, is a growing challenge in digital science. Although numerous standards like OAIS, METS, and PREMIS define principles for sustainable archiving, their concrete integration into operational research environments remains limited. This paper presents a software design approach for OAIS-compliant preservation that enables automated transformation, packaging, and validation of Emotion-Data Packages within the Knowledge Management Ecosystem Portal (KM-EP). The proposed prototype converts analysis data into archival formats, generates structured METS/PREMIS metadata, and embeds integrity and authenticity checks through hash values and digital signatures. A user-centered, step-by-step configuration interface supports both export and reimport of Emotion-Data Packages. The work provides a specific use case of implementing OAIS-compliant long-term preservation in the KM-EP context.