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Good Scientific Practice in Interdisciplinary Settings

In public, "good scientific practice" is often connected with cases of plagiarism when it comes to dissertations. However, the important topic covers a substantially wider spectrum of scientific conduct:
Dealing with data (including checking, recording, ownership and storage), the publishing process and authorship, responsible supervision, academic cooperation, conflicts of interest and dealing with conflicts.
Inappropriate academic behaviour includes inventing or faking data, violating intellectual property (theft of ideas or plagiarism), and sabotaging the research of others.

More subtle topics, such as interdisciplinary competence, communication, skepticism, critical thinking, reproducibility, handling creativity, the danger of axiomatic assumptions and confirmation bias represent the “heart of good scientific practice”.

Every Ph.D. student should have a professional understanding of all mentioned topics.


Thomas Streck    SFB 901 "On-The-Fly  Computing"
If you are doing your PHD, no matter in which phase you are right now, this is the course for you. In this course you will be surrounded by a couple of other colleagues who share the same insecurities and have comparable needs to get that one job done: finish the PHD successfully. The time you spend on this course can be understood as a safe space, in which you can figure out the Dos and Don’ts in academia and especially in publishing scientific papers. It will not only be the instructor, but it is also on you (together with your fellows) to find out what you will need to manage this milestone. I think the strength of this course is the independent development of what you personally need for yourself to achieve that goal. Taking your time for that and stepping away from the content you are working on right now is time well spent.

The University for the Information Society