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.

Related Posts

A Survival Guide to Research Data Sharing Services in the Rhine-Ruhr Region

A Survival Guide to Research Data Sharing Services in the Rhine-Ruhr Region

A Survival Guide to Research Data Sharing Services in the Rhine-Ruhr Region

There are a lot of reasons why collaborating with other researchers on scientific projects is great! It provides new perspectives and gives you the chance to benefit from other people’s knowledge and input. When it comes to sharing and exchanging data across multiple locations and devices however, researchers are often disoriented and don’t know which tools, cloud services and so on are safe to share data in a secure and ethical way.

Read More
Carpentries Workshop - Introduction to Python

Carpentries Workshop - Introduction to Python

Empowering Researchers with Foundational Computing Skills: Join the Upcoming Carpentries Workshop

In today’s fast-paced research environment, the ability to harness computational tools effectively can make a world of difference. Whether you’re managing data or automating tasks, having the right skills can significantly streamline your work. That’s where The Carpentries come in — a global initiative comprising the Software Carpentry, Data Carpentry, and Library Carpentry communities. These communities are dedicated to equipping researchers with essential computational and data science skills, helping them to work smarter, not harder.

Read More
Do's and Don'ts in Research Data Management

Do's and Don'ts in Research Data Management

Research Data Management Do’s and Don’ts - Step up your RDM skills!

1. Structuring and naming your folders There is an easy way to make your data findable for you and your team: establish a folder structure which makes sense for you and your working group as well as naming conventions for your folders.

Don’t:

Paul and Suzie
»Guideline
>application
»version2_final
»v.3
»review
»3rd.version
>JD
»qn
»0-1

Instead do:

000_int_orga
»01_application
»02_review 120_questionaires
»01_qualitative »02_quantitative 130_data
»01_qualitative »02_quantitative

Read More