Repository for the Minisymposium 2024 INF workshop on the 17th of May.
9:30 - 11:00
Seminar room 5.161, Pfaffenwaldring 55
9:30 Introduction into research data management (Niels Hansen)
9:45 Ongoing research data management projects in SFB1333 (Jürgen Pleiss)
10:00 Tools for research data management (Torsten Giess)
10:30 Publishing datasets on DaRUS (Samir Darouich)
10:45 Final discussion
By clicking on the Binder badge above or following this link, you can start an interactive Jupyter notebook environment in your browser. This allows you to run the example code and modify it to your needs. No installation is required on your local machine.
Alternatively, you can download the repository and run the Jupyter notebooks on your local machine. For this, you need to have Python installed and install the required packages by changing to the project directery and using pip install -r requirements.txt. It is recommended to use a virtual environment for this.
Binder will take some time (usually around 5 min) to start the environment, so please be patient. Please note that the Binder environment is temporary and will be deleted after 10 minutes of inactivity. You can, however, download your changes (notebooks, results, ...) to your local machine at any time.
If you are interested in learning more about how to apply the HPLC tool for your own reasearch, please contact us. The INF team is happy to help you with your data management needs. There are also many other tools and workflows already available, e.g. for SAXS, NMR, IR, or flow chemistry. Of course, we would love to dive into new areas as well, so please do not hesitate to contact us!
This repository is licensed under the MIT license. See the LICENSE file for more information.