Provenance management has become increasingly important to support scientific discovery reproducibility, result interpretation, and problem diagnosis in scientific workflow enviro...
Artem Chebotko, Xubo Fei, Cui Lin, Shiyong Lu, Far...
A key advantage of scientific workflow systems over traditional scripting approaches is their ability to automatically record data and process dependencies introduced during workf...
Scientific workflows have gained great momentum in recent years due to their critical roles in e-Science and cyberinfrastructure applications. However, some tasks of a scientific w...
Liqiang Wang, Shiyong Lu, Xubo Fei, Jeffrey L. Ram
Data lineage and data provenance are key to the management of scientific data. Not knowing the exact provenance and processing pipeline used to produce a derived data set often re...