Good Scientific Practice and Data Management

Feb 14, 2018 from 02:00 PM to 04:30 PM

Graduate Center

Target group:

All Doctoral candidates at all stages of their doctorate and young postdocs up to two years after your doctorate at Kiel University


Science is based on universally accepted and established rules that ensure that research results are meaningful, reproducible and adaptable. In Germany these general, interdisciplinary rules are known under the term “Good scientific practice”.

Every scientist at Kiel University, regardless of his status, is required to comply with these regulations. But what do these rules contain in detail? What do they require of scientists and what effect do they have on everyday research in the laboratory?

In order to help the doctoral candidates of Kiel University to implement these rules in their actual research the Graduate Center is announcing the event “Good scientific practice”. Professors of Kiel University will explain the regulations, elucidate the legal framework and give tips on how to deal with research results.The event will be conducted in English and is suitable for doctoral candidates of all subjects.



Prof. Jürgen Grotemeyer, Institute for Physical Chemistry at Kiel University

Rules, questions, conflicts – receiving preparedness!

Prof. Grotemeyer gives insight into questions of authorship, conflicts of interest, intellectual property and proper credit of the work of others, the relationships in research groups, provision of data and materials, as well as supervision and mentoring. The lecture is intended to offer some “preparedness” into these forms of misconduct in science and humanities. Doctoral candidates will learn to recognize and deal with ethical problems they may (and will!) encounter when working as  scientists (be it in the industry, at the university or in a research institute). The lecture will start with some recent cases, then lead to the recommendations of the German Research  Foundation and the special regulations at Kiel University.


Prof. Wilhelm Hasselbring, Institute for Informatics / Software Engineering at Kiel University

How can software systems and services contribute?

Prof. Hasselbring will focus on data management, especially when experimental science turns more and more to computational and finally digital science. Processes of data and publication flow, verification by reproducibility, especially by so called “executable papers”, will be addressed. An overview of existing solutions (what researchers can already do!), Kiel University’s Data Management System and perspectives for the near future will be given during this lecture.


Questions & Discussion


Applications via our registration portal are welcome until 5 February 2018.




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