Schlagwort: ‘FDM’
New RDM Training Concept at RWTH Aachen University
Source: Stefan Hense
In April 2022, the RDM team will start a new training format on research data management “FDM II-modular”, offering you two-hour hands-on workshops on focus topics of research data management. The workshops will take place regularly on the 4th Wednesday of the month from 10am to 12 noon.
New DFG Templates for Funding Proposals
Source: Stefan Hense
At the German Research Foundation (DFG), the topic of research data management (FDM) is becoming increasingly important. When preparing a proposal, you should therefore consider FDM at an early stage. This does not have to be a lot of work. What is crucial is that you reflect once on what research data you will use and how you will process it. In this article we would like to inform you about the new DFG templates.
Open Meeting of the RDM Network on April 13, 2022
Source: Freepik
The time will soon come again: the next open meeting of the RDM network will take place online via Zoom on April 13, 2022. This time, RDM managers and data stewards can look forward to two topics. The next meeting will focus on a presentation of the KNIME software and an introduction to dependency analysis of research data at the IoP using GitLab.
53. Jour Fixe FDM
Mittwoch, 11.05.2022, 14:00-16:00 Uhr
Thema: FDM fordern und fördern
An diesem Termin können Sie ausschließlich virtuell via ZOOM teilnehmen. Bitte melden Sie sich bis spätestens Dienstag, den 10.05.2022 an. Die Einwahldaten für die Videokonferenz werden nach der Anmeldung versendet.
Offenes FDM-Netzwerktreffen am 13.04.2022
Das nächste offene FDM-Netzwerktreffen findet am 13.4.2022 von 10 bis 12 Uhr zum Thema „KNIME & Abhängigkeitsanalyse von Forschungsdaten am IoP mittels GitLab“ virtuell via Zoom statt.
Die Registrierung für das FDM-Netzwerktreffen ist unter folgendem Link möglich: https://rwth.zoom.us/meeting/register/tJAtceuuqT0vHdYdr7o1PvISb1i3eiPfcEVu
Das FDM-Team freut sich auf Sie und Ihre Kolleginnen und Kollegen.
RDM explained – How to Validate Data?
Source: Unsplash
As part of good scientific practice, research data should be stored for up to 10 years. In addition, more and more funding agencies expect information on where the collected data is stored. However, it is neither technically nor economically possible to store all data collected during a research project. Accordingly, it is necessary to carry out a data evaluation after a project has been completed. This forms the basis for deciding which data should or must be archived. Our new blog post gives a first insight into what should be considered when validating data.
Offenes FDM-Netzwerktreffen am 09.03.2022
Das nächste offene FDM-Netzwerktreffen findet am 9.3.2022 von 10 bis 12 Uhr zum Thema „Strategien zur Einführung von Datenmanagementplänen in Projekten“ virtuell via Zoom statt.
Data.rwth Teaching Competition – Designing Teaching Materials for Data Literacy
Teaching data literacy to students – this is what the team of the data.RWTH data literacy project is working on. In the data.RWTH teaching competition, all RWTH members now have the chance to actively shape the basic data literacy modules by producing teaching videos as well as exercise and examination materials, and at the same time receive an attractive grant of eight times 10,000€. You still have until March 15, 2022 to apply! In this blog post, you will learn the most important facts in brief.
Follow-up Report on the Open Meeting of the RDM Network on February 9, 2022
Source: Unsplash
The RDM Team invited to the second open meeting of the Research Data Management (RDM) network this year on February 9, 2022 online via Zoom. The two originally planned presentations had to be cancelled due to illness, but the RDM team showed spontaneity and presented the plans for the new FDM continuing education concept at RWTH to the data stewards, RDM officers and RDM interested parties.
RDM Explained – Benefits and Possibilities of Data Publication
Source: Unsplash
Research data are the raw material of research work and thus decisive for scientific progress. In order to derive the greatest possible benefit from the data, its accessibility and reusability is essential. They should therefore never be stored on a USB stick and disappear in a private drawer.
