Data Provenance is information about the origin and creation process of data. Such
information is useful for debugging data and transformations, auditing, evaluating the quality …

Considerable investments have been made in Europe and worldwide for develo**
research data infrastructures. Instead of a general lack of data about data, it has become …

Kee** track of lifecycle history and information origins are important because that is the
only key issue to confirm information probative value and integrity. Provenance information …

Large-scale, data-intensive scientific applications are often expressed as scientific
workflows (SWfs). In this paper, we consider the problem of efficient scheduling of a large …

Data usage control enables data owners to enforce policies over how their data may be
used after they have been released and accessed. We address distributed aspects of this …

With the ever-increasing growth of data and information, finding the right knowledge
becomes a real challenge and an urgent task. Traditional data and information retrieval …

We present a light-weight database virtualization (LDV) system that allows users to share
and re-execute applications that operate on a relational database (DB). Previous methods …

Users can determine the precise origins of their data by collecting detailed provenance
records. However, auditing at a finer grain produces large amounts of metadata. To …

The Science DMZ (SDMZ) is a special purpose network infrastructure that is engineered to
cater to the ultra-high bandwidth needs of the scientific and high performance computing …

Large-scale scientific applications are often expressed as workflows that help defining data
dependencies between their different components. Several such workflows have huge …