The RDA Germany Conference 2020 is jointly organized by the RDA DE association and the Helmholtz Association. It will take place from February 25 to 27, 2020 at the Geo Forschungs Zentrum Potsdam (GFZ, Telegrafenberg) in the lecture hall building. On Tuesday, February 25th, it starts with several parallel satellite events that have a training and further education character. There will be a "Beginner Track", an "Advanced Track", a "Project Track" and a "Data Carpentry Course". Details will follow. The main meeting then starts on Wednesday, February 26th, at around 12 noon with a snack, the planned end is on February 27th at around 1:00 pm. The public general meeting of the RDA-Deutschland e.V. will take place on February 26 at 5 p.m. Corresponding invitations to the club members are made separately. The conference focuses on EOSC, NFDIs, FAIR etc. but with a different focus than last year.
Posters can be exhibited again during the conference. There is particular interest in posters on topics related to the work of RDA working groups, but in general anything from the area of (research) data management is welcome. The submission of the posters should be associated with the willingness to participate in the conference and to be available as a contact person during the poster session. Printed posters should be brought along for the conference in A0 (portrait) format.
Please send an abstract of the poster (max. 1 page) with contact details or the poster directly as a PDF to: email@example.com The posters must be licensed with the CC BY 4.0 license. This licensing can exclude logos and works by third parties, but the association RDA-DE must be granted the rights to make the posters and abstracts publicly available. It is planned to make both posters and abstracts available online.
More info about the event here (in German): https://www.rda-deutschland.de/events/tagung-2020
Posters can be exhibited again during the conference. There is particular interest in posters on topics related to the work of RDA working groups, but in general anything from the area of (research) data management is welcome.