SPARK Educational Forum: Data Quality and reproducibility

Prof. Ulrich Dirngal, Charité and QUEST, BIH

Prof. Christoph Harms, CSB, Charité

Academic translational projects start with solid research. The design of your research questions, the experiments you are performing, the data that you acquire and accumulate and the quality of the data including all results and their interpretation add up to a solid basis. Starting from here, translational researchers are looking for ways to where their research could lead in order to help solve patient unmet needs.

The solid and reproducible data base is also the backbone of the resulting developmental programs, which can be very costly and thus deserve to be well grounded, reproducible, transparent and ethically sound - else they will not lead to the desired outcome of pro¬ducts that will serve the patients.

In this session of the SPARK educational forum, we would like to address the topics of data quality and reproducibility and what it takes to achieve this desirable goal, not only for the sake of good translational practice but also for the sake of credibility of science as such. What do we need to change about our mindset and about the way science publica¬tions work, in order to have consistent high quality research output? What does this have to do with your translational research projects?

Ulrich Dirnagl, head of QUEST at the BIH and accomplished researcher and translational scientist, will be discussing this with us. We will also have Christoph Harms from Cent¬rum fur Schlaganfallforschung Berlin (CSB), Charité, with us to give us insight into how he has been experiencing the ups and downs of solidifying data, and his adventures on the academic road during his career. We look forward to a lively discussion in light of new challenges for scientific data.