Existence of data provenance information in a system raises at least two security-related
issues. One is how provenance data can be used to enhance security in the system and the …

Security is likely to be a critical factor in the future adoption of provenance technology,
because of the risk of inadvertent disclosure of sensitive information. In this survey paper we …

Provenance is an increasing concern due to the ongoing revolution in sharing and
processing scientific data on the Web and in other computer systems. It is proposed that …

A unique characteristics of provenance data is that it forms a directed acyclic graph (DAG) in
accordance with the underlying causality dependencies between entities (acting users …

It can be difficult to fully understand the result of integrating information from diverse sources.
When all the information comes from a single organization, there is a collective knowledge …

Data provenance is a structured form of metadata designed to record the activities and
datasets involved in data production, as well as their dependency relationships. The PROV …

Providing provenance in scientific workflows is essential for reproducibility and auditability
purposes. In this work, we propose a framework that verifies the correctness of the …

Data collaborations allow users to draw upon diverse resources to solve complex problems.
While collaborations enable a greater ability to manipulate data and services, they also …

Data metrology–the assessment of the quality of data–particularly in scientific and industrial
settings, has emerged as an important requirement for the UK National Physical Laboratory …

Data provenance is information used in reasoning about the present state of a data object,
providing details such as the inputs used, transformations it underwent, entities responsible …