Mon - Wed 18 Mar 2024 - 20 Mar 2024Past

FDM Workshop

Workshop Aachen
DKZ.2R@
More Information →

The FDM Workshop is a multi-day event where participants work together on FDM tools and discover new features and application scenarios: from eLabFTW to Coscine and DataLab to LiaScript - in community-led sessions in English, participants can try out and exchange ideas.

The second FDM workshop is being held in cooperation with the state initiative fdm.nrw, our data literacy center DKZ.2R and the IT Center of RWTH Aachen University . The event begins with a kick-off event on Monday, 18.03.2024 from 15:00. This will be followed by two days of work. There will be 12 thematic sessions, which will largely take place in parallel and in English. The content and required prior knowledge (e.g. Python) can be found in the respective session abstracts on the fdm.nrw website.

Related Posts

Berlin Science Week

Every year the Berlin Science Week transforms the city into a vibrant festival of scientific ideas and debates. With over 180 participating organisations and more than 600 involved scientists, artists, politicians, and other inspiring initiators, Berlin Science Week captivates a diverse audience of over 30,000 participants. From our dynamic festival hubs, CAMPUS at the Museum für Naturkunde Berlin, and Science & Culture FORUM at Holzmarkt 25, to various venues across the city, and online events from around the world, we ignite a lively platform for public exchange around topics of science and research and their role for a better tomorrow for all. Join the conversation, meet curious minds from around the world, and engage with new ideas and perspectives. Together with NFDIxCS, the DKZ.2R is organising an interactive exhibition at the “Museum für Naturkunde” on the first and second of November. We hope to meet you there!

Read More

Data Stewardship goes Germany

On the 11th and 12th of September the RWTH Aachen is hosting the third Data Stewardship goes Germany event. The event was founded by TU9, an alliance of leading technical universities in Germany as a networking workshop for participants working in Research Data Management in Science and Technology. This year’s event is focused on the participants and their networks regarding Data Stewardship. As DKZ.2R we are offering different consulting-services and support structures for scientists working with research data. We are therefore very happy to be taking part in the DsgG workshop and connect with other people involved in supporting scientists in their work with ever-increasing amounts of data.

Read More
How To: Good Scientific Practice

How To: Good Scientific Practice

“Scientific integrity forms the basis for trustworthy research”, so it says in the Guidelines for Safeguarding Good Research Practice of the DFG, the German Research Foundation. As a major funder of research in Germany the DFG, as well as many other funders of research in Germany and the European Union, requires researchers to follow a certain set of rules conducting their research. These rules are called “good scientific practice” and have to be followed by researchers to be viable for funding. According to the guidelines researchers are required to “document all information relevant to the production of a research result as clearly as is required by and is appropriate for the relevant subject area to allow the result to be reviewed and assessed”. But good scientific practice is not done by documenting your research. It also includes i.a. protecting the personality rights of your subjects and handling research data in an appropriate manner by e.g. “back(-ing) up research data and results made publicly available, as well as the central materials on which they are based and the research software used, by adequate means according to the standards of the relevant subject area, and retain them for an appropriate period of time.” This is where Research Data Management (RDM) comes in. Of course RDM is much more than just creating a backup of your data on a USB-Stick and handing it over to anyone asking for it. “Good scientific practice” in RDM follows the FAIR principles:

Read More