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Research Data – Latest News & Worth Knowing

Schlagwort: ‘FDM’

Workshop: Large Language Models and the Future of Scientific Publishing – Register Now!

December 12th, 2024 | by
Female speaker giving a presentation at a workshop

Source: Freepik

Digitalization and the increasing use of artificial intelligence (AI) are increasingly changing the world of scientific publishing. Large Language Models (LLMs), which open up new perspectives and possibilities for scientific communication, are a central topic in this change. How these technologies can shape the future of scientific publishing will be intensively discussed in the upcoming workshop on February 11, 2025 in Frankfurt am Main.

 

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Bring 2025 On! NFDI-MatWerk Spring School in Aachen

November 28th, 2024 | by
symbolic image for the NFDI-MatWerk Spring School 2025 which takaes place from April 8 to 10, 2025

Source: NFDI-MatWerk

The NFDI-MatWerk consortium for materials science and engineering of the National Research Data Infrastructure – NFDI-MatWerk – is organizing a Spring School at the IT Center of RWTH Aachen from April 8 to 10, 2025. The event is being held in cooperation with renowned partners in the field of digitization, including the DKZ.2R, the Forschungszentrum Jülich and the RWTH Institutes of Metal Forming and of Physical Metallurgy and Metal Physics.

Are you interested in digitization solutions for your materials science research? Then read on. This article will tell you everything you need to know about the Spring School and how to register.

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Report of the NFDI-MatWerk Summer School 2024

November 26th, 2024 | by
Group Picture of the NNFDI-MatWerk Summer School

Source: Norbert Riefler of IWT in Bremen

This year’s NFDI-MatWerk Summer School took place from September 10 to 12, 2024 at the Leibniz-Institut für Werkstofforientierte Technologien (IWT) in Bremen. The offer was met with great interest. Katharina Grünwald from the RDM team at RWTH Aachen University also attended the Summer School. We have summarised our impressions in this report.

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RDM platform Coscine – more than free quota!

October 15th, 2024 | by
RDM Trainings

Source: Own illustration

Contemporary research involves conscious research data management (RDM) with the aim of generating high-quality research data and keeping it sustainably (re)usable, i.e. findable, accessible and understandable (FAIR-criteria). The RDM platform Coscine – Collaborative Scientific Integration Environment—supports you in this and helps you meet the requirements of research funders and comply with Good Research Practice.

This event is part of a series of in-depth modules on RDM (FDM II – modular). The basics on RDM are covered by the Moodle course “Research Data Management – an Overview (RDM I – online)”. Please use this course as introduction to RDM.

Learn about the RDM platform Coscine with all its features. Understand how Coscine supports you in making research data FAIR (findable, accessible, interoperable, reusable) and in meeting the expectations of research funders.

Online Workshop FAIR Data Through Publication

September 10th, 2024 | by

The in-depth module for research data management offers you the opportunity to make your research data visible and reusable. Discuss with the RDM team whether your research data is suitable for this and how your data becomes FAR through publication. Register now for the RDM II module and deepen your knowledge of research data management.

 

What Can You Expect?

  • Motivation for data publication
  • Persistent identifiers (DOI, ORCID) and other aspects of FAIR data
  • Selection of research data worthy of publication (selection)
  • Publication channels and finding a suitable repository
  • Preparation of the data in a user-friendly form
  • Publication process at RWTH Publications

 

Key Dates & Registration

The online workshop will take place on September 18, 2024 from 10am to 12 noon. You will receive the access link to the event by email at least three days before the start.

Participation in the RDM II module is intended for doctoral candidates and postdocs at RWTH. Please register via the following links: