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Active Provenance for Data-Intensive Workflows: Engaging Users and Developers
2019
2019 15th International Conference on eScience (eScience)
We present a practical approach for provenance capturing in Data-Intensive workflow systems. It provides contextualisation by recording injected domain metadata with the provenance stream. It offers control over lineage precision, combining automation with specified adaptations. We address provenance tasks such as extraction of domain metadata, injection of custom annotations, accuracy and integration of records from multiple independent workflows running in distributed contexts. To allow such
doi:10.1109/escience.2019.00077
dblp:conf/eScience/SpinusoAM19
fatcat:omeuylderba3vhqsswwahqve3q