Traceability is considered a key requirement for trustworthy artificial intelligence (AI), related
to the need to maintain a complete account of the provenance of data, processes, and …

Provenance refers to the entire amount of information, comprising all the elements and their
relationships, that contribute to the existence of a piece of data. The knowledge of …

Objective To explore in depth how primary care clinicians (general practitioners and practice
nurses) derive their individual and collective healthcare decisions. Design Ethnographic …

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 …

In many data-driven applications, analysis needs to be performed on scientific information
obtained from several sources and generated by computations on distributed resources …

Data management is growing in complexity as large-scale applications take advantage of
the loosely coupled resources brought together by grid middleware and by abundant …

In e-Science experiments, it is vital to record the experimental process for later use such as
in interpreting results, verifying that the correct process took place or tracing where data …

Recent years have seen a dramatic increase in research and development of scientific
workflow systems. These systems promise to make scientists more productive by automating …

The increasing ability for the sciences to sense the world around us is resulting in a growing
need for datadriven e-Science applications that are under the control of workflows …

The increasing ability for the Earth sciences to sense the world around us is resulting in a
growing need for data-driven applications that are under the control of data-centric …