001     1046357
005     20251007202033.0
024 7 _ |a 10.5281/ZENODO.16608434
|2 doi
024 7 _ |a 10.34734/FZJ-2025-03785
|2 datacite_doi
037 _ _ |a FZJ-2025-03785
041 _ _ |a English
100 1 _ |a Wagner, Adina Svenja
|0 P:(DE-Juel1)178612
|b 0
111 2 _ |a InformatikFestival2025
|c Potsdam
|d 2025-09-16 - 2025-09-19
|w Germany
245 _ _ |a Code competencies for better science: Recommendations for the German academic system
260 _ _ |c 2025
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a CONFERENCE_POSTER
|2 ORCID
336 7 _ |a Output Types/Conference Poster
|2 DataCite
336 7 _ |a Poster
|b poster
|m poster
|0 PUB:(DE-HGF)24
|s 1759840097_9307
|2 PUB:(DE-HGF)
|x After Call
520 _ _ |a Software competencies - as a user, developer, or proponent - become indispensible in today's digital scientific conduct. Yet, these competencies are not universally fostered in the German academic system. In a workshop hosted by the Volkswagen Stiftung in November 2024, 33 participants from different scientific fields and positions developed actionable recommendations for different target groups in or around academia to improve digital competency in science. The resulting white paper was published in German at doi.org/10.5281/zenodo.14273366. This poster is a visual presentation of the recommendations in this whitepaper and was prepared for the InformatikFestival 2025.  The sources for this poster (as an inkscape svg) can be found at https://hub.psychoinformatics.de/adina/FSKompPoster.
536 _ _ |a 5254 - Neuroscientific Data Analytics and AI (POF4-525)
|0 G:(DE-HGF)POF4-5254
|c POF4-525
|f POF IV
|x 0
588 _ _ |a Dataset connected to DataCite
773 _ _ |a 10.5281/ZENODO.16608434
856 4 _ |u https://juser.fz-juelich.de/record/1046357/files/FSKomp.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:1046357
|p openaire
|p open_access
|p VDB
|p driver
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)178612
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-525
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5254
|x 0
914 1 _ |y 2025
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
920 1 _ |0 I:(DE-Juel1)INM-7-20090406
|k INM-7
|l Gehirn & Verhalten
|x 0
980 _ _ |a poster
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)INM-7-20090406
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21