| Hauptseite > Publikationsdatenbank > Archetype Caden - Provenance tracking using knowledge graphs > print |
| 001 | 1048715 | ||
| 005 | 20251201202159.0 | ||
| 024 | 7 | _ | |a 10.34734/FZJ-2025-04837 |2 datacite_doi |
| 037 | _ | _ | |a FZJ-2025-04837 |
| 100 | 1 | _ | |a Bronger, T. |0 P:(DE-Juel1)130222 |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 Archetype Caden - Provenance tracking using knowledge graphs |
| 260 | _ | _ | |c 2025 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
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| 520 | _ | _ | |a Electronic lab notebooks (ELNs) have become increasingly popular in research institutes and research groups. However, there is not one-size-fits-all solution. Instead, a plethora of ELNs is in use. Moreover, even the same software might not federate with other instances of this software. We present an approach to overcome this, strengthening cooperations and migration from one ELN to another. |
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| 700 | 1 | _ | |a Selzer, M. |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Schlenz, H. |0 P:(DE-Juel1)133034 |b 2 |u fzj |
| 700 | 1 | _ | |a Jayavarapu, M. |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Agouzzal, S. |0 P:(DE-Juel1)201621 |b 4 |u fzj |
| 787 | 0 | _ | |i isPartof |0 FZJ-2025-04418 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1048715/files/Poster%20f%C3%BCr%20TdF%202025.pdf |y OpenAccess |
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