Name
Abstract | ||
|---|---|---|
Tremendous volumes of data have been captured, archived and analyzed. Sensors, algorithms and processing systems for transforming
and analyzing the data are evolving over time. Web Portals and Services can create transient data sets on-demand. Data are
transferred from organization to organization with additional transformations at every stage. Provenance in this context refers
to the source of data and a record of the process that led to its current state. It encompasses the documentation of a variety
of artifacts related to particular data. Provenance is important for understanding and using scientific datasets, and critical
for independent confirmation of scientific results. Managing provenance throughout scientific data processing has gained interest
lately and there are a variety of approaches. Large scale scientific datasets consisting of thousands to millions of individual
data files and processes offer particular challenges. This paper uses the analogy of art history provenance to explore some
of the concerns of applying provenance tracking to earth science data. It also illustrates some of the provenance issues with
examples drawn from the Ozone Monitoring Instrument (OMI) Data Processing System (OMIDAPS) (Tilmes et al. 2004) run at NASA’s Goddard Space Flight Center by the first author. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/s12145-010-0046-3 | Earth Science Informatics |
Keywords | DocType | Volume |
data processing · provenance,web services,data management,metadata,information analysis,information transfer,earth sciences,data processing,scientific data | Journal | 3 |
Issue | ISSN | Citations |
1-2 | 1865-0481 | 16 |
PageRank | References | Authors |
0.94 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Curt Tilmes | 1 | 91 | 13.91 |
| Yelena Yesha | 2 | 1756 | 253.96 |
| Milton Halem | 3 | 86 | 29.78 |