By DKZ.2R:Fundamentals of Metadata Course

The Rhine-Ruhr Center for Scientific Data Literacy (DKZ.2R) will be presenting the Carpentries Course “Fundamentals of Metadata” Developed by the Helmholtz Metadata Collaboration (HMC).

Short Description: This is a fundamentals course targeted at researchers from all fields who want to annotate their research data in a well structured and meaningful way. From the definition and importance of metadata to the use of metadata frameworks using JSON you will discover how to document your data in a hands-on experience.
This event functions as a satellite event to the the DKZ.2R Metadata Challenge, happening on March 12th, also at the University of Bonn. The Data Challenge is the perfect opportunity for anyone who wants to put their new Metadata skills to the test with the option of working with your own data. Find the registration for the Data Challenge using the following link

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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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By DKZ.2R: The Carpentries Workshop: Introduction to Git

The DKZ.2R presents, as a part of our “Trainings” work package, a Carpentries Workshop on the 2nd of February with an “Introduction to Git”. This is an official Carpentries Workshop and will be hosted on-site at the Humboldt-Universität zu Berlin.

Workshop material is available online and will be presented by official Carpentries instructors, who will guide you through the concepts with the help of hands-on exercises and personalized support. The course is designed for beginners and is open to participants from all domains. No prior knowledge is required. If you are interested in taking part in the workshop, you can sign up here.

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