| Hauptseite > Publikationsdatenbank > FAIR not Foul! The DKZ.2R Reproducibility Checker for more Transparency and Fairness in AI Research > print |
| 001 | 1048137 | ||
| 005 | 20251117202147.0 | ||
| 024 | 7 | _ | |2 datacite_doi |a 10.34734/FZJ-2025-04519 |
| 037 | _ | _ | |a FZJ-2025-04519 |
| 100 | 1 | _ | |0 P:(DE-Juel1)201731 |a Janz, Alicia |b 0 |u fzj |
| 111 | 2 | _ | |a Tag der Forschungsdaten in NRW 2025 |c RWTH Aachen |d 2025-11-18 - 2025-11-18 |w Germany |
| 245 | _ | _ | |a FAIR not Foul! The DKZ.2R Reproducibility Checker for more Transparency and Fairness in AI Research |
| 260 | _ | _ | |c 2025 |
| 336 | 7 | _ | |0 33 |2 EndNote |a Conference Paper |
| 336 | 7 | _ | |2 BibTeX |a INPROCEEDINGS |
| 336 | 7 | _ | |2 DRIVER |a conferenceObject |
| 336 | 7 | _ | |2 ORCID |a CONFERENCE_POSTER |
| 336 | 7 | _ | |2 DataCite |a Output Types/Conference Poster |
| 336 | 7 | _ | |0 PUB:(DE-HGF)24 |2 PUB:(DE-HGF) |a Poster |b poster |m poster |s 1763369460_19915 |x Other |
| 520 | _ | _ | |a The Rhine-Ruhr Center for Scientific Data Literacy (DKZ.2R) aims at promoting Data Literacy in research. We offer free consulting, workshops and tools to support early career researchers in improving their data and methods related skills such as making their research more FAIR. At the "Tag der Forschungsdaten" we want to demonstrate the prototype of our reproducibility checker tool. The tool helps researchers strengthen transparency, and data quality in their publications with regards to the publication's potential of being reproduced - showing how smart use of AI tools can improve research outcomes |
| 536 | _ | _ | |0 G:(DE-HGF)POF4-899 |a 899 - ohne Topic (POF4-899) |c POF4-899 |f POF IV |x 0 |
| 787 | 0 | _ | |0 FZJ-2025-04418 |1 isPartof |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1048137/files/2024-09-23_poster_classic_dkz2r_CC.pdf |y OpenAccess |
| 909 | C | O | |o oai:juser.fz-juelich.de:1048137 |p openaire |p open_access |p VDB |p driver |
| 910 | 1 | _ | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)201731 |a Forschungszentrum Jülich |b 0 |k FZJ |
| 913 | 1 | _ | |0 G:(DE-HGF)POF4-899 |1 G:(DE-HGF)POF4-890 |2 G:(DE-HGF)POF4-800 |3 G:(DE-HGF)POF4 |4 G:(DE-HGF)POF |a DE-HGF |b Programmungebundene Forschung |l ohne Programm |v ohne Topic |x 0 |
| 915 | _ | _ | |0 StatID:(DE-HGF)0510 |2 StatID |a OpenAccess |
| 915 | _ | _ | |0 LIC:(DE-HGF)CCBYNC4 |2 HGFVOC |a Creative Commons Attribution-NonCommercial CC BY-NC 4.0 |
| 920 | 1 | _ | |0 I:(DE-Juel1)IAS-9-20201008 |k IAS-9 |l Materials Data Science and Informatics |x 0 |
| 980 | 1 | _ | |a FullTexts |
| 980 | _ | _ | |a poster |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)IAS-9-20201008 |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|