Seminar -Advanced R

Course Description and Goals:

The course teaches advanced topics in R programming that become increasingly relevant for everyday applications in both applied and theoretical econometrics and empirical economics. It covers, amongst other topics:

• Advanced programming concepts, including object orientation, profiling, and debugging. • Packages for modern applications in data science. • Cutting-edge R extensions, for example for parallel computing and C++ integration. • Applications relevant to empirical economics and econometrics.

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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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Workshop at Volkswagenstiftung Themenwoche Digitale Kompetenzen in der Wissenschaft

DKZ.2R teamed up with another data literacy center QUADRIGA, NFDIxCS, and NFDI4DS, to host a workshop on the topic of “Research Data and Research Software Competencies from the Perspective of Computer and Data Science” at the Themenwoche Digitale Kompetenzen in der Wissenschaft of the Volkswagenstiftung. Together with a diverse group of 35 participants from different data-literacy initiatives we will explore intersections between projects, present successful educational formats, identify gaps in current educational offerings, and collaboratively create new formats and an overall didactic framework. We are very much looking forward to this workshop week which will happen from the 2nd to 4th of December 2024 at the Xplanatorium in Hannover Herrenhausen. Find the agenda and more information about the workshop on this dedicated website

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