Carpentries Workshop - Introduction to Python

• C. Gonzalez
• Training , Workshop , Python

Empowering Researchers with Foundational Computing Skills: Join the Upcoming Carpentries Workshop

In today’s fast-paced research environment, the ability to harness computational tools effectively can make a world of difference. Whether you’re managing data or automating tasks, having the right skills can significantly streamline your work. That’s where The Carpentries come in — a global initiative comprising the Software Carpentry, Data Carpentry, and Library Carpentry communities. These communities are dedicated to equipping researchers with essential computational and data science skills, helping them to work smarter, not harder.

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NFDI4Objects Community Meeting 2024

From the 25th to 27th of September 2024, the Leibnitz Centre for Archaeology (LEIZA) & Mainz University of Applied Sciences are hosting the second NFDI4Objects Community meeting. There will be a diverse program with workshops focused on students and young researchers as well as teachers and other interested parties on the topic of research data management of object-related data. Furthermore, the NFDI4Objects will present their annual report, host poster sessions, and ignite talks, and organise collaboration and community workshops. In one of the poster sessions, we (DKZ.2R) will be presenting our poster titled: “The Rhine-Ruhr Center for Scientific Data Literacy (DKZ.2R) bridging the gaps to NDFI4Objects” The full program (in German) can be found on the NFDI4Objects Website. As the DKZ.2R is only funded for a duration of three years, the various NDFI consortia play a major part in finding ways to establishing our offers and making them last. As part of our networking strategy we are also constantly exchanging ideas and looking for synergies between project to use our ressources as efficiently as possible.

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How To: Open Science

• A. Mielke
• Data , RDM , Open Science

Tired of Recreating someone else’s work? - How Open Science can accelerate research and overcome reinvention

Have you ever found papers on algorithms but their implementation is missing? Found an interesting analysis but there is no way to check the results, as you don’t have access to the data they were derived from? Ever thought you had a great idea for a project, just to find out a year later that you are not the only research group following that specific idea? Not having access to other people’s code, data, metrics or even their plans for research projects often leads to unnecessary delays and scientific redundancies. There is an easy solution to overcome (almost) all of these issues. It’s called Open Science! What is Open Science? The UNESCO defines Open Science as a construct of “movements and practices aiming to make multilingual scientific knowledge openly available, accessible and reusable for everyone, to increase scientific collaborations and sharing of information for the benefits of science and society, and to open the processes of scientific knowledge creation, evaluation and communication to societal actors […]”. To ensure that everyone has access to scientific knowledge and infrastructure, Open Science focuses on four main concepts.

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