[Katarzyna Biernacka]

Dear IG member,
*Registration is open*for the upcoming 21th RDA Plenary meeting at the
International Data Week (IDW) 2023, to be held at the Salzburg
Convention Center in Salzburg, Austria from October 23 – 26, 2023. If
you plan to attend in person, the ‘early bird’ (i.e. cheaper) rate will
end this *Friday 15 September at 23.59 UTC*.  (Online registration rates
will remain the same before and after this date.)  More info is at
https://www.rd-alliance.org/idw-2023-registration
*Once registered*, we are looking forward to seeing you (whether online
or in person) at our session “Fiesta ETHRD-IG! Community celebration of
education & training material and metadata richness
”
– we’re scheduled for *Breakout Session 6, 12.00-13.30 UTC, Thursday 26
October* *2023*.
**** Submit Your Presentation Ideas Now For Our Fiesta Party ******
In the context of RDM, training materials help build the right skills
required to, e.g., make research data FAIR or publish data in an open
way. For optimal results, ideal training materials incorporate with
enriched metadata that inform and enable potential users to assess if
they are beneficial for their settings.
We are curious how you create your training materials! How do you share
and describe them for findability, accessibility, interoperability, and
reusability purposes?
We are looking for three *5-minutes presentations* during our session at
the *RDA’s 21st Plenary!*
Please send your short description to Kati
(***@***.***-berlin.de) *by 30 September*. After the
acceptance of your submission, we will ask you to prepare *1-2 slides*
for the P21 by *15 October*.
We are waiting for your ideas and see you in Salzburg or online!
Magda, Amy, Laura, Jeanne, and Kati
—
Katarzyna Biernacka
Research Assistant | PhD Candidate
Humboldt-Universität zu Berlin
Department of Computer Science
Computer Science Education | Computer Science and Society
Postal address: Unter den Linden 6, 10099 Berlin, Germany
Visitor address: Rudower Chaussee 25, Room 3.407, 12489 Berlin, Germany
Phone: +49 30 2093 41110
Web:https://cses.informatik.hu-berlin.de/
ORCID:https://orcid.org/0000-0002-6363-0064

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