Schlagwort: ‘Forschungsdaten’
Announcement: Workshop “Data Stewardship Goes Germany 2025” in Karlsruhe!
Source: Own Illustration
Following the successful 2024 event at RWTH Aachen, the Research Data Management Working Group of the TU9 Alliance, in cooperation with FIZ Karlsruhe, and RDM@KIT are inviting data stewards, data managers, data curators, and other experts from the fields of research data management and research software engineering experts to this year’s workshop, “Data Stewardship goes Germany.”
Save the Date! TdF 2025
Source: fdm.nrw
Mark your calendars for November 18, 2025! That’s the date of the fifth Research Data Day (TdF) in North Rhine-Westphalia. Under the motto “FAIR Data – FAIR Play: just a matter of line-up” you can expect a practical program featuring a panel discussion with leading NFDI representatives in the morning and an information and networking event in the afternoon. Together with Forschungszentrum Jülich, we will showcase services, practical examples, ideas, and concepts for the successful, FAIR handling of research data!
DKZ.2R Data Café: Your Data – Our Expertise
Source: DKZ.2R
On Tuesday June 24, 2025, the Data Café of the Rhine-Ruhr Center for Scientific Data Competence (DKZ.2R) will be held at the RWTH Aachen University Library. From 11am to 3 pm, researchers can discuss their research data questions with experts in Machine Learning, High-Performance Computing, and Research Data Management in a relaxed, free-of-charge atmosphere over coffee.
Networking in Action: Highlights of the RDM Network Meeting
Source: Own Illustration
The first RDM Network Meeting in the new “Practical Special” format took place on May 22, 2025, in the University Library of RWTH Aachen University. The active RDM community at RWTH, comprising data stewards and other individuals involved in RDM, met in an informal setting to share insights on the latest challenges in Research Data Management, present project updates, and discuss recent developments at RWTH with the RDM team.
Sustainable Use of Research Data: Funding From the VolkswagenStiftung
Source: Freepik
As part of its open science policy, the German VolkswagenStiftung supports the reuse of open research data and provides funding for this purpose in the context of “data reuse.”
Coscine Survey 2025 – Your Opinion for a Better RDM Platform
Source: Coscine
We would like to invite you to participate in the Coscine Survey 2025. From April 28 to May 30, 2025, you will have the opportunity to share your experiences, wishes, and suggestions with us.
NFDI-MatWerk Spring School 2025: A Dynamic Exchange on Research Data Management in Aachen
Source: NFDI-MatWerk
From April 8 to 10, 2025, RWTH Aachen University hosted the NFDI-MatWerk Spring School, bringing together 22 enthusiastic participants from all over Germany. This diverse group included PhD students, postdocs, and researchers who work with experimental and simulation data. Over three days, they immersed themselves in intensive sessions, hands-on workshops, and lively discussions about Research Data Management (RDM) in materials science and engineering.
NFDI Becomes Part of the EOSC Build-Up Phase
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.
Digital Cleanup From an RDM Perspective
Source: Own Illustration
On the occasion of Digital Cleanup Day, which takes place every year on the third Saturday in March, the RDM team at RWTH Aachen University has joined forces with the Sustainability and University Governance Office of the Board of Governors office to raise awareness of sustainability in the digital age. With tips, tricks and the RDM handout (German only), digital cleanup is easier and more efficient.
RDM and Good Scientific Practice: An Inseparable Connection
Source: Martin Braun
Research data is the backbone of every scientific endeavor. However, the collection, documentation, and publication of research data is only useful if it adheres to the principles of Good Scientific Practice (GSP). These principles ensure scientific integrity and the quality of research. A central component of GSP is the proper handling of research data, which plays an important role in research data management (RDM).
