Geoscientists now live in a world rich with digital data and methods, and their computational
research cannot be fully captured in traditional publications. The Geoscience Paper of the …

Recently artificial intelligence (AI) and machine learning (ML) models have demonstrated
remarkable progress with applications developed in various domains. It is also increasingly …

The development of magnetic resonance imaging (MRI) techniques has defined modern
neuroimaging. Since its inception, tens of thousands of studies using techniques such as …

The Open Provenance Model is a model of provenance that is designed to meet the
following requirements:(1) Allow provenance information to be exchanged between …

Trust is an integral component in many kinds of human interaction, allowing people to act
under uncertainty and with the risk of negative consequences. For example, exchanging …

A large number of published datasets (or sources) that follow Linked Data principles is
currently available and this number grows rapidly. However, the major target of Linked Data …

As humans, we have expectations for the results of any action, eg we expect at least one
student to be returned when we query a university database for student records. When these …

Provenance, ie, the origin or source of something, is becoming an important concern, since it
offers the means to verify data products, to infer their quality, to analyse the processes that …

Provenance is well understood in the context of art or digital libaries, where it respectively
refers to the documented history of an art object, or the documentation of processes in a …

The purpose of this article is to highlight a main issue regarding reliable audit evidence
derived from Big Data—that of secure data provenance. Traditionally, audit evidence …