Kategorie: ‘Informationen & Beratung’
Data Competence Center DKZ.2R – The IT Center Is Part of It
Source: Forschungszentrum Jülich
The Federal Ministry of Education and Research (BMBF) is funding the conception and subsequent establishment of data competence centers for science. Working with research data will continue to be a trend in the future, and for this the planned data competence centers are intended to provide relief for scientists by offering support and networking services. Together with Forschungszentrum Jülich (FZJ), the IT Center of RWTH Aachen University is involved in the conception phase of the data competence center “DKZ.2R”.
Review Coscine – FAIRly in Love with Research Data
Source: Own illustration
If you haven’t fallen in love with Coscine yet, you will have fallen under the spell of the research data management platform by February 14, 2023 at the latest – fittingly on the day of love. In this follow-up-report we have summarized the event for you and why Coscine makes your heart race. The event Coscine – FAIRly in Love with Research Data event took place as part of the Love Data Week.
Research Data Management at RWTH – Get the Overview!
Source: Own illustration
A quick and up-to-date introduction can be found with our RWTHmoodle course “Research Data Management – An Overview (RDM I – online)”!
This course is regularly updated and adapted to the dynamic development of research data management (RDM) and the RWTH infrastructure. Since the beginning of the year, you can use the updated version of the established self-study course.
Love Data Week 2023 – Digital Support in the RDM
Source: Alexander Sinn on Unsplash
Interested in more data love? Then we have a second appetiser for you. Because RWTH Aachen University will be offering yet another event as part of Love Data Week 2023.
Follow-up Report on the Open Meeting of the RDM Network on January 11, 2023
Source: Own illustration; Freepik
On January 11, 2023, the data stewards, RDM officers and RDM interested parties at RWTH Aachen University met for the first time in the new year for the regular Open Meeting of the RDM Network online via Zoom. The focus this time was on the two RDM instruments DataLad and the GIN-Tonic tool.
Love Data Week 2023 – Celebrating the Love of Data
Source: Own illustration
It’s coming soon! Love Data Week 2023 is just around the corner. In the week around Valentine’s Day, February 13-17, data love will be celebrated worldwide under the motto “Data: Agent of Change” with many events on different RDM topics.
RDM Explains – What is Open Access?
Source: Freepik
Open Access publications are becoming increasingly relevant in many disciplines, but at the same time they are still often viewed with differentiation or even scepticism. For scientific progress and further research, however, it is indispensable that a broad mass of people can access and use the results. We have therefore taken a closer look at the topic of Open Access.
The Next Open Meeting of the RDM Network on January 11, 2023
Preview RDM Network Meeting
Source: Own illustration; Freepik
Next week, on January 11, 2023, starting at 10am, the first open meeting of the RDM network in the new year will take place on the topic of DataLad and the GIN-Tonic tool online via Zoom. You should not miss this! For newcomers and those interested, we have summarised once again in our new blog post what the RDM network meeting is all about.
The Series of Successes Continues – Funding for Consortia With RWTH Participation Approved
Source: nfdi.de
At the end of the year, there is not only something new to announce from the National Research Data Infrastructure (NFDI), but also reason to rejoice for RWTH Aachen University. After we reported on the funding recommendation of the Deutsche Forschungsgemeinschaft (DFG) in July, the final decision on the future funded consortia of the 3rd round was made last month.
RDM Explained – How do I Cite Research Data?
Source: Own illustration
The last article in the “RDM explains” series was about how to find research data. But what happens if you have found relevant data and use it in your scientific work? In order not to run the risk of unintentionally plagiarising, care should be taken to cite all sources in a scientifically correct manner. But how exactly do you do that with research data? In this article, we present important principles and possibilities.
