Database provenance chronicles the history of updates and modifications to data, and has received much attention due to its central role in scientific data management. However, the use of provenance information still requires a leap of faith. Without additional protections, provenance records are vulnerable to accidental corruption, and even malicious forgery, a problem that is most pronounced ...

Provenance is the derivation history of information about the origin of data and processes. For a highly dynamic system such as the cloud, provenance must be effectively detected to be used as proves to ensure accountability during digital forensic investigations. This paper proposes active-threaded provenance cognition algorithms that ensure effective and high speed detection of provenance inf...

Provenance is information about the origin, derivation, ownership, or history of an object. It has recently been studied extensively in scientific databases and other settings due to its importance in helping scientists judge data validity, quality and integrity. However, most models of provenance have been stated as ad hoc definitions motivated by informal concepts such as “comes from”, “influ...

From where did this tweet originate? Was this quote from the New York Times modified? Daily, we rely on data from the Web, but often it is difficult or impossible to determine where it came from or how it was produced. This lack of provenance is particularly evident when people and systems deal with Web information or with any environment where information comes from sources of varying quality....

Derived from the field of art curation, digital provenance is an unforgeable record of a digital object’s chain of successive custody and sequence of operations performed on it. Digital provenance forms an immutable directed acyclic graph (DAG) structure. Recent works in digital provenance have focused on provenance generation, storage and management frameworks in different fields. In this pape...

During the last few years we have witnessed an explosion in the publication of data in the Web, mainly in the form of Linked Data. Scienti c, corporate or even governmental data are made available for open access and used by applications, individual users and communities. Given the increasing amount and the heterogeneity of this data, it is of crucial importance to be able to track its provenan...

Article history: Received 12 October 2008 Received in revised form 8 March 2010 Accepted 11 March 2010 Available online 23 March 2010 Provenance metadata has become increasingly important to support scientific discovery reproducibility, result interpretation, and problem diagnosis in scientific workflow environments. The provenance management problem concerns the efficiency and effectiveness of...

With aspect-oriented programming techniques, modularity may be achieved via separating cross-cutting concerns. Data provenance can be considered as a crosscutting concern: code for collecting provenance data is usually scattered across various places in a software system. Aspect-oriented programming allows to seamlessly integrate cross-cutting concerns into existing software applications withou...

Importance of research data preservation and management has been accepted by the scientists all around the world. Interest and investment in data preservation projects has become higher than ever before. Already there are number of wellknown research data repositories for different types of research data. Data preservation, sharing, discovery and reuse are the key features which are common acro...

In scientific collaborations, provenance is increasingly used to understand, debug, and explain the processing history of data, and to determine the validity and quality of data products. While provenance is easily recorded by scientific workflow systems, it can be infeasible or undesirable to publish provenance details for all data products of a workflow run. We have developed PROPUB, a system...