Nach seeeeeeehr langer Zeit melden wir uns mal wieder im „alten Format“ mit einer Classic-Episode zurück. Ja, die Situation rund um Corona hat uns einiges abverlangt und einiges an Energie gefressen die normalerweise auch in dieses Projekt geht. Und so geht’s in dieser Episode auch um genau diesen Elefanten im Raum. Wir blicken aber auch auf die News, die … nun ja, so richtig keine mehr sind. Wir stellen uns also auch die Frage wie sich solche Entwicklungen auf unseren Podcast, das Format und die „News“ auswirken. Viel Spaß!
If you’ve been listening to us for a while you have probably already heard about Felix Schönbrodt, as we have mentioned him in a number of episodes talking about projects he was involved in and a number of talks, e.g. his lighting talk at the 2016 Barcamp Science 2.0 or his recent talk at the Open Science Conference 2018. Felix is a principal investigator for Psychological Methods and Assessment at the Department of Psychology, and moreover, he is an absolute Open Science enthusiast.
As we mentioned in our wrap-up episode for this year’s Barcamp Open Science and Open Science Conference, we found Felix’s conference talk really insightful, so it is our pleasure to provide it to you with kind permission from Felix and hope that you find it equally enlightening and motivating.
If you wanna closely follow his presentation including his slides, please use the video embedded into the blogpost for this episode or his slides linked in they the Open Science Conference programme.
As the amounts of research data are ever-growing and data value becomes even more important with respect to data sharing and reuse, the organization and management of data is an incredible important task. The Research Data Management Organiser (RDMO) is a tool developed to solve this task, enabling researchers to plan and manage their research data across the entire research data life cycle. Jochen Klar from the Leibniz Institute for Astrophysics Potsdam (AIP) told us more about it at the Open Science Conference poster session.
At the poster session of this year’s Open Science Conference, Rok Roskar was presenting his poster on the data science platform RENGA. Developed by the Swiss Data Science Center, RENGA is an open-source, highly scalable platform fostering cooperation in data science. Ros was so kind to provide us with more info about the platform.
As reproducibility becomes more and more important, one of the main challenges is to support it by making it easier and more accessible. Starting in the domain of geosciences, the DFG-funded project Opening Reproducible Research aims to improve the access to research results that are published over the Internet, and seeks to simplify their reuse in the form of a research compendium. At this poster session Markus Konkol from the Institute of Geoinformatics at WWU Münster provides some insight to the project.
One of the important issues in an institutional setting nowadays is, to guarantee reproducibility and quality control during the research process and across the entire data lifecycle. The DFG-funded project CONQUAIRE – Continuous Quality Control for Research Data to Ensure Reproducibility focuses exactly on these tasks. At this poster session Vidya Ayer from the Semantic Computing Group at Bielefeld University provides a short introduction to the project and its main aspects.