ABSTRACT
Technological advancements such as the World Wide Web brought together business, engineering, and scientific communities, creating collaborative opportunities that were previously unimaginable. Provenance originates from the French term provenir, which is used to describe the curation process of artwork as art is passed from owner to owner. Data provenance, in a similar way, allows producers to pass data context to consumers by providing vocabularies and methodologies for collaborators to share the origin of anything, both digital and nondigital. Scientists found that changes of one physical input parameter can potentially have significant impact on the overall results. Identifying, understanding, and ranking sources of uncertainty is a vital part the knowledge scientists need to convey when sharing their results with the research community. The era of scientific workflows ushered in new interest by scientists seeking to tie together many disparate applications and data sources and have a record of what transpired during the workflow execution.
