Automatic provenance collection and publishing in a science data production environment - Early results

7Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The Earth System Science Server (ES3) system transparently collects provenance information from executing code. Provenance information (ancestors or descendants) for any process or data granule may then be retrieved from a web service, in both textual and graphical formats. We have installed ES3 in a quasi-production environment, wherein multiple Earth satellite data streams are synthesized into daily grids of global ocean color parameters, and the resulting data granules published online. ES3's non-intrusive nature makes its insertion into such an environment fairly straightforward, but considerations such as collating distributed provenance (from processes spread across computing clusters) and sharing unique identifiers (to link programs and data granules with their separately-maintained provenance) must still be addressed. We present for discussion our preliminary results from assembling such an environment. © 2010 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

Frew, J., Janée, G., & Slaughter, P. (2010). Automatic provenance collection and publishing in a science data production environment - Early results. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6378 LNCS, pp. 27–33). https://doi.org/10.1007/978-3-642-17819-1_4

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free