The research data lifecycle model represents all the phases that research data can go through, from the point of collection to their reuse. These phases are linked to specific tasks and may vary (Forschungsdaten.info, 2023). Generally, the research data lifecycle includes the following stages:

• Planning the research project
• Data collection and documentation/recording
• Preparation and analysis
• Sharing and publishing
• Archiving
• Data Reuse.