Microverse course: Research Data Management

Due to the increasing digitization and datafication in all fields of research, the proper management of research data becomes increasingly important.

You spent months on collecting samples and measurements in the field or in the lab? You explored, analysed and interpreted this data and finally published your findings in a scientific journal? Well, then it is time to think about your data again and what to do with it now. Or are you just starting your PhD or your postdoc project and want to make sure not to overlook anything when it comes to obtaining and documenting your measurements?

According to the guidelines for safeguarding good scientific practice your results should be replicable and repeatable. Are you aware of the concept of FAIR data, that is mentioned in the research data policies of many funders, institutions and journals? FAIR means that data are findable, accessible, interoperable and re-usable. To ensure this, your data should be well documented, securely stored and available for later reuse.

Data publishing and long-term preservation are just two aspects of research data management. This workshop will help determine your data management requirements at all stages of the project. In addition, the course provides you with practical guidance on how to organize, structure, describe and publish your data in order to comply with good scientific practice.

Topics of the course:

• Basic definitions in research data management and the data life cycle
• Data management plans (DMP)
• Documentation, data organisation, metadata
• Storage and back-up
• Archiving
• Publication and re-use of research data
• Legal aspects

This will be an online course (Moodle) using self-study material to be completed prior to the two sessions on 10 May AND 12 May (from 9 to 1pm).

Please register before May 3rd using this link: https://cloud.uni-jena.de/apps/forms/q63Lz9g7GwnHyfeK