Good practice & use cases in handling research data


The seminar series offers a "peer-to-peer learning" platform to find out about the practice of colleagues and share one's own experiences with handling research data. Thus, it is not a lecture followed by Q&A, but rather an impulse presentation followed by a structured discussion. Contributions from participants about their own experiences are very welcome. Beyond factual knowledge, the seminars provide an opportunity to find colleagues with similar interests, hear about current activities and voice support and infrastructural needs. Before the seminar proper, a 45-minute lecture, typically by support staff, gives a basic introduction to the topic. Attending this lecture can be helpful if you have little experience with the topic so far, but it is by no means a prerequisite for attending the later seminar. Vice versa, it is possible to only attend this introduction, and everybody is welcome to attend, including students without own research experience.

The topics cover the wider field of research data management - the first three meetings will focus on:

  • Protection of complex personal data which cannot be anonymized (15 Sep)
  • Using Git for sharing analysis code (15 Oct)
  • Application of the electronic lab notebook (12 Nov)

Please consult the event poster for times and speakers, and use it to spread the news about the seminar series.

If successful, the seminar series will be continued monthly in 2021 - please contribute topics of interest (see contact below).

The events will take place online, in English, and require no registration. They are aimed primarily at members of BIH, Charité, and MDC, but are open to other participants. External participants might, however, be asked to remain more passive to allow for an exchange of experiences with a local focus.

Please dial in with a video, if possible:

If you would like to suggest a topic, contribute to a topic already scheduled, or have any other question of comment, please contact Evgeny Bobrov (BIH-QUEST).