NFDI4Objects Community Meeting 2024

From the 25th to 27th of September 2024, the Leibnitz Centre for Archaeology (LEIZA) & Mainz University of Applied Sciences are hosting the second NFDI4Objects Community meeting. There will be a diverse program with workshops focused on students and young researchers as well as teachers and other interested parties on the topic of research data management of object-related data. Furthermore, the NFDI4Objects will present their annual report, host poster sessions, and ignite talks, and organise collaboration and community workshops. In one of the poster sessions, we (DKZ.2R) will be presenting our poster titled: “The Rhine-Ruhr Center for Scientific Data Literacy (DKZ.2R) bridging the gaps to NDFI4Objects” The full program (in German) can be found on the NFDI4Objects Website. As the DKZ.2R is only funded for a duration of three years, the various NDFI consortia play a major part in finding ways to establishing our offers and making them last. As part of our networking strategy we are also constantly exchanging ideas and looking for synergies between project to use our ressources as efficiently as possible.

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FDM Workshop

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.

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How To: Good Scientific Practice

• C. Hillen
• Data , RDM , 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:

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