Data management processes are handled heterogeneously by researchers, which can result in problems with data handling during collaboration, or lead to issues when reusing research output in the future (be it days or several years). Strategies for data management have to consider technical, organisational, legal, structural, and sustainability aspects into account.

• Individual optimization analysis of RDM processes to enable advanced data handling actions.
• Initial meeting to provide information about RDM optimization. Interested researchers are encouraged to read about this topic at optimization analysis before reaching out to contact to arrange a meeting.
• You can also self-asses your current state and find some online guides at self-assessment.
• as well as for the specific topic of on-/ offboarding at on-/ offboarding or find out about data structure optimization at data structure
• Strengthen your data-management strategy and optimize your data collection and storage processes while improving security and efficiency – optimize daily elements of data storage and collaboration.

• Proper RDM enables you and your team to find research objects, even after years.
• Proper descriptions and sufficient metadata ensure you and others can understand and reuse older data and datasets.
• Avoid waste of resources and unnecessary redundancies through optimized workflows.
• Save time and effort otherwise lost searching for or deciphering information.
• Simplify your collaboration with cooperation partners.
• Minimize data loss, and facilitate data security.

• Contact the RDM Team or individual Data Stewards!
• Pose your question via mail or ask for an appointment to discuss possible consultation services.
• An optimization analysis will start with a preliminary meeting to overview current RDM procedures for a given project, team or individual.
• Follow-up meetings will provide consultation on optimization options towards a final RDM strategy outlining short-, medium-, and long-term actions.