Like experiments performed at a laboratory bench, the data associated with an e-Science experiment are of reduced value if other scientists are not able to identify the origin, or provenance, of those data. Provenance information is essential if experiments are to be validated and verified by others, or even by those who originally performed them. In this article, we give an overview of our initial work on the provenance of bioinformatics e-Science experiments within myGrid. We use two kinds of provenance: the derivation path of information and annotation. We show how this kind of provenance can be delivered within the myGrid demonstrator WorkBench and we explore how the resulting Webs of experimental data holdings can be mined for useful i...
This article offers a briefing in one of the knowledge management issues of in silico experimentatio...
We present a novel user-orientated approach to provenance capture and representation for in silico e...
Provenance metadata in e-Science captures the derivation history of data products generated from sci...
Abstract. In e-Science experiments, it is vital to record the experimental process for later use suc...
In e-Science experiments, it is vital to record the experimental process for later use such as in in...
In e-Science experiments, it is vital to record the experimental process for later use such as in in...
Data management is growing in complexity as largescale applications take advantage of the loosely co...
e-Science experiments are those performed using computer-based resources such as database searches, ...
Life science researchers increasingly rely on the web as a primary source of data, forcing them to a...
International audienceTranslational research in Life-Science nowadays leverages e-Science platforms ...
E-science experiments typically involve many distributed services maintained by different organisati...
Abstract. E-Science experiments typically involve many distributed services main-tained by different...
We present a novel user-orientated approach to provenance capture and representation for in silico e...
E-Science experiments typically involve many distributed services maintained by different organisati...
Scientists and, more generally end users of computer systems, need to be able to trust the data they...
This article offers a briefing in one of the knowledge management issues of in silico experimentatio...
We present a novel user-orientated approach to provenance capture and representation for in silico e...
Provenance metadata in e-Science captures the derivation history of data products generated from sci...
Abstract. In e-Science experiments, it is vital to record the experimental process for later use suc...
In e-Science experiments, it is vital to record the experimental process for later use such as in in...
In e-Science experiments, it is vital to record the experimental process for later use such as in in...
Data management is growing in complexity as largescale applications take advantage of the loosely co...
e-Science experiments are those performed using computer-based resources such as database searches, ...
Life science researchers increasingly rely on the web as a primary source of data, forcing them to a...
International audienceTranslational research in Life-Science nowadays leverages e-Science platforms ...
E-science experiments typically involve many distributed services maintained by different organisati...
Abstract. E-Science experiments typically involve many distributed services main-tained by different...
We present a novel user-orientated approach to provenance capture and representation for in silico e...
E-Science experiments typically involve many distributed services maintained by different organisati...
Scientists and, more generally end users of computer systems, need to be able to trust the data they...
This article offers a briefing in one of the knowledge management issues of in silico experimentatio...
We present a novel user-orientated approach to provenance capture and representation for in silico e...
Provenance metadata in e-Science captures the derivation history of data products generated from sci...