Date
14.+16.+18. February 2022
09:00 - 13:00 (Germany) / 16:00 - 20:00 (China)

Location
online

Credit points
1 CP

Course Language
English

Target Group
Doctoral Researchers

Contents
How can we improve data and code management in order to enhance reproducibility and thus trust in science? This workshop will provide practical guidance on how to organize, structure, describe and publish your data/code in order to comply with good scientific practice.

• The data life cycle
• Open science and the FAIR principles
• Expectations of a good data management plan (DMP)
• Nominally vs actually reusable: writing rich metadata
• Storage and long-term archiving
• Publishing data & code

Aim
A solid understanding of the range of activities involved in making one's data and code accessible and reproducible, in order to be both Open and FAIR. Practical experience in the tasks now required by funding organizations, research institutions, and publishers in order to fulfill this remit.

You will need
Participants should bring their own dataset to work on, and questions to share and resolve.

Lecturers in charge