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Research Data – Latest News & Worth Knowing

Schlagwort: ‘NFDI’

GWK Decides to Continue Funding All Nine NFDI Consortia

July 17th, 2025 | by
A hand dropping a coin onto a graduation cap on stacked books. A woman is reading, a man is using a laptop, with money, pencils, and a clock scattered around them.

Source: Freepik

On July 4, 2025, the Joint Science Conference (GWK) decided to continue funding all nine NFDI consortia from the first funding round. They will receive follow-up funding and will start the second project phase in October 2025. The federal and state governments will jointly provide around 92 million euros for this purpose until the end of 2028.

This decision is excellent news for the consortia involved and for everyone involved in research data management (RDM). The NFDI plays a central role in establishing a sustainable, interdisciplinary data infrastructure in Germany.

 

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Second Advanced User Meeting of Coscine.nrw

May 8th, 2025 | by
Colored balloons

Source: Freepik

On April 29, 2025, the second user meeting of Coscine.nrw took place. The event not only offered exciting insights into current developments in the research data management (RDM) platform, but was above all interactive. In a creative group work phase, participants jointly developed specific criteria for evaluating storage space requests—an important building block for the review process of the new DataStorage.nrw storage system.

 

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NFDI Becomes Part of the EOSC Build-Up Phase

April 17th, 2025 | by
Symbolic image illustrating the structure of the EOSC federation

Source: EOSC

The National Research Data Infrastructure (NFDI) has been selected from a total of 121 initiatives across Europe as one of 13 organizations that will be part of the development phase of the European Open Science Cloud (EOSC) Federation [1]. This marks the start of the development phase.

 

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Meeting of the RDM Network in March 2025 – Realignment of the RDM network and Highlights of the E-Science Days

April 1st, 2025 | by
Symbolic image RDM Network meeting

Source: Own illustration; Freepik

In this report, we look back on the last Meeting of the RDM Network on March 19, 2025: Learn more about the RDM network, its vision and the future development of the RDM network meetings at RWTH Aachen University. We also share the highlights of our Data Stewards and network members that they experienced during the E-Science Days 2025 in Heidelberg.

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E-Science-Days 2025: Coscine in Focus

March 20th, 2025 | by
E-Science-Days 2025 auditorium

Source: Own illustration

After the first day of the E-Science Days 2025 offered exciting insights into various aspects of research data management, the second day focussed on practical solutions, sustainable storage strategies and agile development processes. The day began with a keynote speech by Susanna Weber and then offered a varied programme of specialist presentations and discussions on current challenges and innovative developments in RDM.

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E-Science-Days 2025: Kick-Off!

March 19th, 2025 | by
RDM Team at E-Science-Days 2025

Source: Own illustration

The E-Science Days 2025 took place in Heidelberg from March 12 to March 14, 2025 under the motto ‘Research Data Management: Challenges in a Changing World’. The event offered both online and face-to-face participation and served as an interdisciplinary platform for dialogue on research data management (RDM) and open science.

The diverse programme included many different formats such as lectures, lightning talks, poster sessions and workshops. The keynote speeches and the panel discussion, which highlighted current topics such as ensuring data quality, challenges in data publication and the opportunities and risks of artificial intelligence (AI) in RDM, attracted particular attention.

In this blog series, we take you on a journey through three eventful days, which the RDM team at RWTH Aachen University was able to experience intensively.

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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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New RDM Guideline at RWTH Aachen University

October 17th, 2024 | by
Hands are on the pad; one hand is holding a ballpoint pen and writing “FDM at RWTH Aachen”

Source: IT Center RWTH Aachen University

At its meeting on June 18, 2024, the rectorate of RWTH Aachen approved the new version of the RDM guideline on the recommendation of the RDM advisory board. In this article, we discuss the background and the most important innovations of the new guideline.

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Participation in the MSE Congress 2024

October 10th, 2024 | by
A stand with four people at the MSE Congress 2024

Source: Katharina M. E. Grünwald

The RDM team from RWTH Aachen University was represented at the International Congress on Materials Science and Engineering (MSE)! Well, at least partially: we were represented there by members of the Materials Science and Engineering Consortium of the National Research Data Infrastructure (NFDI-MatWerk for short) of the IT Center of RWTH Aachen University. We have recorded our impressions of the MSE Congress in this article.

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Asynchronous Tracking and Description of Research Data Changes in Distributed Systems With Interoperable Metadata

June 13th, 2024 | by
Graduation Celebration

Source: Freepik

In the world of digital research, there are many different ways of storing data. But how can research data be managed in a way that makes it accessible and usable for everyone who should have access to it? In this blog post, we look at how we can tackle this challenge by introducing a method to fill in missing information about the origin of data. This approach is intended to make it easier to find and use research data – in line with the FAIR Principles.

 

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