English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Journal Article

Realising data-centric scientific workflows with provenance-capturing on data lakes

MPS-Authors

Nolte,  Hendrik
Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG), Max Planck Society;

Wieder,  Philipp
Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG), Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Nolte, H., & Wieder, P. (2022). Realising data-centric scientific workflows with provenance-capturing on data lakes. Data Intelligence, 4 (2), 426-438. doi:10.1162/dint_a_00141.


Cite as: https://hdl.handle.net/21.11116/0000-000C-C796-A
Abstract
There is no abstract available