Kategorie: ‘From the practice’
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.
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.
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 RDM Annual Review 2022
RDM Annual Review 2022
Source: Unsplash
We are fast approaching the turn of the year. Just before the corks pop, we would like to look back on an exciting and eventful 2022 and review the many changes, events and happenings in the field of Research Data Management. Before we face new challenges and changes in the new year… 🙂
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.
This Was Research Data Day 2022 – A Look at The RWTH’s RDM-Compass
Source: Own illustration
All good things come in three. After we already reported on the cross-site morning programme and the RWTH’s workshop offer on the RDM platform Coscine, this is the third follow-up report on the Research Data Day in NRW, which was held on November 15, 2022 under the motto “Lighthouse RDM: Orientation in the Sea of Data”.
Research Data Day 2022 – Follow-up to Coscine – Fair in the Data Sea
Event Coscine – FAIR guarantee in the data sea
Source: Own illustration
We continue with the follow-up report on the afternoon program of the Research Data Day 2022 held at the RWTH Aachen University. Just as last year, researchers from all over North Rhine-Westphalia were allowed to get a taste of the Coscine workshop and ask their questions about the platform for research data management. In this post, we have summarized the contents of the one-hour workshop for you. You can download the slides of the workshop on Zenodo.
This Was the Research Data Day 2022 – A Review of the Morning Program Across Different Locations
Lighthouse RDM: Orientation in the data sea
Source: fdm.nrw
After last year’s great success, the Day of Research Data in North Rhine-Westphalia (NRW) entered its second round on November 15, 2022 under the motto “Lighthouse RDM: Orientation in the data sea”. The event started with the digital morning program across different locations. We were there again this year and have summarized the program for you.
The Latest News All About Coscine
Source: Own illustration
Since the last update in July of this year, a lot has happened in Coscine. To keep you up to date, this blog post summarizes the latest developments around the platform for research data management and looks back on the past months.
RDM Explained – How Do I Find Research Data?
Source: rawpixel.com on Freepik
The findability and reusability of research data are important aspects of research data management and part of the FAIR principles (Findability and Reusability). The sustainable preparation and professional publication of research data offers various possibilities for reuse. Meta-analyses, optimization of own study designs and model calibrations are just a few examples. However, finding suitable data for reuse is increasingly becoming a challenge due to steadily growing data volumes and increasing diversification of data types and storage locations. So, what are the places to go and what are the options for finding data?
