Year: 2003
Type: conference-paper
Abstract: 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 information and presentations for the e-Scientist.
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
Award: G8655222873
OpenAlex ID: W1531630191
