Kategorie: ‘Services’
RDM Toolbox 2024 – Day 3
Source: Own illustration
The first two days of the FDM workshop have already been reported on the RDM blog. On the third day of the FDM workshop, everything revolved around the FDM tools LiaScript, Datalad and Coscine. A discussion round on the DKZ.2R data competence center was also part of the last day’s program. You can find out more about the details of the individual sessions in this article.
RDM Toolbox 2024
Source: Own illustration
In December last year, we drew your attention to the RDM Toolbox 2024 with a Call for Participation. This took place from March 18 to 20, 2024 in the rooms of the IT Center of RWTH Aachen University in Kopernikusstraße.
Open Meeting of the RDM Network in March 2024
Source: Own illustration; Freepik
On March 13, 2024, the open meeting of the RDM network of RWTH Aachen University for data stewards, RDM managers and those interested in RDM took place again. The topic of the digital meeting was “open science” and was presented by Monica Gonzalez-Marquez – open science Manager at Forschungszentrum Jülich.
Survey on the baureka.online Research Data Portal
Source: Lara Draschoff
The team of baureka.online needs your support! A survey on the baureka.online research data portal is currently running until March 24, 2024! Do you use digital data in historical building research? Then your opinion is needed!
The Fair Principles: Origin and Meaning
Source: Claudio Schwarz on Unsplash
In this blog post, we inform you about the origin and meaning of the so-called FAIR principles and place the term in the broader context of modern data management.
Follow-up Report on Coscine – FAIR Data is my kind of Data!
Source: Own illustration
The Love Data Week 2024 may be over, but our love for FAIR data remains! Among the many exciting talks that took place during this week was the presentation “Coscine – FAIR Data is my kind of Data!”. In this blog post, we take a look at the aspects presented and the exciting developments that are shaping the future of FAIR data at Coscine.
Mastering RDM – Learning Opportunities at the RWTH
Source: Own illustration
In complex research processes, it is crucial to maintain an overview of research data and develop effective data management strategies. In addition to RDM tools and services, RWTH Aachen University therefore also offers its researchers courses and workshops on research data management (RDM) in order to develop skills in this important area.
The RDM team relies on blended learning, which combines traditional classroom teaching with digital learning methods. The basics are taught in year-round RWTHmoodle courses, which can be completed at any time and at your own pace through self-study. Building on this, what has been learned can be tested, discussed and deepened in regular workshops. In this blog post, you can get an overview of the RWTH’s RDM continuing education offers.
FDM-Werkstatt 2024 – Registration Deadline Ends Soon!
Source: IT Center
The registration deadline for this year’s FDM-Werkstatt 2024, which will take place from March 18 to 20, 2024 at the IT Center of RWTH Aachen University, will soon end. Get to know various RDM tools and exchange ideas with like-minded people on all important RDM issues in the community workshop! Take the chance and secure one of the last places.
Reminder – Your Date With Coscine at the Love Data Week 2024
Source: Own illustration
Love Data Week 2024 (LDW) is in full swing and is already drawing to a close, but as we all know, the best is saved for last and you definitely should not miss this data flirtation: On Friday, February 16, 2024, the RDM platform Coscine will be presented with its latest developments.
RWTH at the EmacsConference 2023
Workflow of a data set processed by Lukas C. Bossert and Jonathan Hartman at EmacsConf 2023 using Emacs and org-mode.
Source: IT Center
Research without digital data has long since become unthinkable. Many different tools and programs are sometimes used to collect, process and organize data. The programs differ not only due to different subject areas and data types, but also with regard to the respective phase within the research data life cycle: starting with data collection, through its cleansing and analytical processing, to the publication-ready output of the data including documentation.
