Research data management in general and in HPC

Research data management (RDM) is a bit like taxes: It accompanies you in the background, but sometimes requires a lot of attention at the most inopportune time (the tax return! Where is this one invoice!). But when it is well-planned and consistently implemented, in the end, there is also a bonus in the RDM that the (research) family can enjoy in the long term! In accordance with good scientific practice, data can be found and traced in the long term, responsibilities and processes are clearly defined, and you can clear your mind for the really important thing: your own research. This NHR course series conveys the basic terms, theoretical concepts, and practical ideas for planning and implementing a needs-based RDM. In addition to a general introduction, the RDM should also be viewed from the perspective of HPC.

Module 1 - Introduction to RDM

Data is the basis of all research. A good research process is therefore also based on good research data management. What exactly is behind this, which aspects and tasks are important in which project phase, and why it is worth paying attention to this topic, will be examined in this introductory event. Finally, it should be jointly discussed which topics are important to the RDM, especially from the perspective of the HPC, in order to address them in future events.

Registration

Link: https://event.zih.tu-dresden.de/nhr/rdm
The NHR tutorial is limited to 50 participants.
You will receive the access data shortly before the event by email to your registered email address.

Further Information

online, Link will be send out later ⇲

Course language: English

If you have any further questions, please contact Anja Gerbes (anja.gerbes[at]tu-dresden.de).

Further NHR-Courses at ZIH:https://tu-dresden.de/zih/hochleistungsrechnen/nhr-training