Not too much news updates today, but some interesting uploads to Zenodo, so have fun reading.
FAIRmat
FAIRmat is the FAIR Data Infrastructure for Condensed-Matter Physics and the Chemical Physics of Solids, a consortium of the NFDI, the National Research Data Infrastructure in Germany.
Zenodo
FAIRmat continues with uploading videos, previously only available on YouTube, to Zenodo. Additionally, they provide two information flyers, one regarding data management plans, and the other provides information on FAIRmat, its goals, tools and more.
FAIRmat Flyer: FAIR Data Infrastructure for Condensed-Matter Physics and the Chemical Physics of Solids
https://doi.org/10.5281/zenodo.12784607
FAIRmat flyer: A Quick Guide to Data Management Plans
https://doi.org/10.5281/zenodo.12784626
Third FAIRmat users meeting Nov2023 – FAIR Data Principles in Perovskite Solar Cell Research using NOMAD – Daniel Baumann
https://doi.org/10.5281/zenodo.12799504
NFDI4Cat
NFDI4Cat is the consortium for sciences related to catalysis of the NFDI, the National Research Data Infrastructure in Germany.
Zenodo
NFDI4Cat published A short Guideline for Open Data Publishing, where they give some examples and ideas on how to deal with your data publication. In the guide they discuss two cases, the cases that the uploaded data belongs to a published article (linked data) and the case, that the data does not belong to any article (standalone data). I am personally on the fence with the notion that linked data needs to be only understandable “in conjunction with the publication”, which means less metadata needs to be provided to the data publication, especially when the published article is not open access. What do you think?
Furthermore, slides of two presentations regarding a general introduction to research data management, FAIR data and the goals of NFDI4Cat were uploaded.
A short Guideline for Open Data Publishing
https://doi.org/10.5281/zenodo.12806593
Open Science @ NFDI4Cat – An Initiative towards open and FAIR data sharing
https://doi.org/10.5281/zenodo.12801168
FAIR Data in Catalysis – NFDI4Cat’s Pathway to Research Excellence and Innovation
https://doi.org/10.5281/zenodo.12800739
PUNCH4NFDI
PUNCH4NFDI is the Particles, Universe, NuClei and Hadrons for the NFDI consortium of the NFDI, the National Research Data Infrastructure in Germany.
User story: Software to data – Running container interactively in compute centres
Running data analysis with tools like Jupyter notebooks is very conveniently, but with large data volumes you can run into trouble easily. Therefore, PUNCH4NFDI published an article showing how to deal with these kinds of problems, using the example of the Jülich Supercomputing Centre. It is not only a report, but actually a kind of step-by-step guide on how to do it yourself, so check out the article here.
Outro
Thank you very much for reading and see you next week!