Tue Apr 8 2025 - Thu Apr 10 Past

Tue - Thu 8 Apr 2025 - 10 Apr 2025Past

Spring School 2025 in Aachen – Research Data Management in Materials Science and Engineering

Enabling a consistent and unobstructed standardization of research data will lead to substantial improvements in efficiency and synergies/collaboration among individual researchers and well-designed IT systems. In the era of digital infrastructures, this measure holds paramount importance in shaping the future of research. For the data to be sustainable and reusable, it must adhere to the “FAIR Data Principles”, meaning it should be “Findable, Accessible, Interoperable, and Re-usable”. The FAIR principles will be a cornerstone of the European Open Science Cloud (EOSC) implementation. Nowadays, Data Management Plans (DMPs) have become a requirement for project applications in Horizon Europe and are increasingly being demanded by various funding organizations, including the German Science Foundation (DFG), among others. The scientific consortium NFDI-MatWerk (National Research Data Infrastructure) focuses on the research area Materials Science & Materials Engineering (MSE). The central challenge is the digital representation of materials and their relevant process and load parameters. NFDI-MatWerk will provide in this summer school tailored information and solutions for dealing with research data in MSE.

Who can apply? PhD-students and Post-Docs working in experimental and/or modeling/simulation in any field of materials science and engineering (with or without experience in RDM). Advanced Master Students are also welcome to apply.

Registration deadline: March 15, 2025

Please keep in mind that the number of participants is limited. Therefore, the “First Come-First Served” principle will be applied. Those who register first will have priority to obtain a place in the spring school.

The participation is free of charge. The event will take place in English.

You can find more information abput the event on the official webpage: https://www.eusmat.net/research/other-events/nfdi-matwerk-spring-school-2025/

Tags:

Documentation From User Experience

Marvin Lorber
Documentation , Software , RDM

This post is a condensed version of a talk at our Data Compentcy College

If you regularly use scientific software written by others, or tried to replicate interesting research that relies on software, you have probably also invested weeks of work to solve a software problem or even given up on a software because of missing documentation. Finding a project that might be the solution to your problem and then failing to run the code is frustrating. Being unable to run a project you have built yourself years ago is even worse. Having experienced all those setbacks myself in the past I want to use this post to channel that frustration to fuel solutions for better documentation for our current and future projects.

The Carpentries Workshop: Python Basics and Plotting

As part of our “Trainings” work package, the DKZ.2R plans to curate and provide a variety of trainings, seminars and courses. We will start by offering an official The Carpentries Workshop on the 21st and 22nd of November 2024 on the topic of “plotting and programming in Python”. The Carpentries Workshop by DKZ.2R: Python basics and plotting The workshop will be hosted on-site at RWTH Aachen University and is open for up to 25 participants. The workshop material is available online and will be presented by official carpentry instructors who will walk you through the steps and are available for questions the whole time. The course is teaching the very basics of Python and although some experience with other scripting/programming languages is beneficial, no prior knowledge is required for the course. Furthermore, the event is open for participants from all domains. If you are interested in taking part in the workshop you can sign up here.

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.