31.05.2022 | Data Science Forum
RDM-Special Edition in the Data Science Forum
The Data Science Forum goes into the next round on 09 June at 12 pm with a lunch-and-learn special edition on the topic of research data management (RDM) (Forschungsdatenmanagement, FDM) and we cordially invite you to join us!
With the RDM-Special Edition of our seminar series, we would like to show researcher the various services and activities at the University of Bremen that can help to implement a sustainable, FAIR data management during the proposal as well as research phases. Moreover, CRC 1342 is going to present its RDM activities as an example for other collaborative research projects. We would also like to take the opportunity to introduce the new RDM-services offered by our three new data stewards, who will have joined the DSC by the beginning of July.
12-12:30 pm via Zoom, 12-13 pm on Campus
| Dr. Martin Blenkle (Staats- und Universitätsbibliothek) Bibliothekar:innen lesen gar nicht den ganzen Tag über! FDM in der Staats- und Universitätsbibliothek Bremen
| Dr. Björn-Oliver Schmidt (Referat 12, U Bremen) Wohin mit meinen Daten? FDM an der Universität Bremen – Unterstützungsangebote und Rahmenbedingungen
| Dr. Nils Düpont (SOCIUM & CRC 1342) Getting Social Scientists Onboard – Co-Creating an Information System (and Doing RDM) in the CRC 1342 “Global Dynamics of Social Policy”
| Dr. Julian Lilkendey, Heike Thöricht, Dr. Sandra Zänkert (Data Stewards, DSC)What can a data steward do for you? Discipline-specific RDM support and training
WHY AN RDM-SPECIAL EDITION?
FDM is important for all data-intensive researchers, as it is the foundation for data science. Also, more and more funding agencies require concrete information on data management in third-party funding applications. The DFG has also recently specified its requirements in this regard and is now making information on the handling of research data in collaborative and individual proposals mandatory (see DFG-news item from March 14
). A sustainable RDM strategy is thus crucial for the success of proposals and research projects, and the U Bremen offers various support services.
WHERE AND WHEN?
The lunch-and-learn event will take place in hybrid format from 12-12:30pm at MZH and via Zoom. There will be a 20-minute keynote presentation followed by an open forum for questions and discussion. We have planned an extra half hour on site (i.e. until 1 p.m.) for personal exchange on the talk, general data science aspects or our services. If you would like to be present on site at the MZH, just write us a short EMAIL
for better planning. We look forward to exciting discussions!