Provenance, which records the history of an in-silico experiment, has been identified as an
important requirement for scientific workflows to support scientific discovery reproducibility …

Provenance has become increasingly important in scientific workflows to understand, verify,
and reproduce the result of scientific data analysis. Most existing systems store provenance …

This paper describes a turnkey solution to add a XML digital signature capability without
modifying existing XML-based B2B systems. The signature proxy between applications …

Provenance refers to the information about the derivation history of a data product. It is
important for evaluating the quality and trustworthiness of a data product and ensuring the …

Provenance is metadata that describes the lineage of a data product. Lineage is invaluable
in advancing the reuse and reproducibility of scientific results in e-Science. Through the …

In the era of big data, scientific workflows have become essential to automate scientific
experiments and guarantee repeatability. As both data and workflow increase in their scale …

On the Semantic Web, information is published as machine-readable graphs expressed as
RDF triples. Information consumers may combine and repackage that information as derived …