OVERVIEW

Advances in grid computing have encouraged the proliferation of automated and semi-automated data driven scientific applications. These applications in turn result in a vast array of data products. These data products are often disseminated to other scientific projects or domains consumers who rely upon this as a vital resource in their experimental process. Consumers of data products often face difficult decision in selecting appropriate data sets for a given experiment that fit within the quality control measures established by the researcher. In many cases, there is no information pertaining to quality available to consumers to make the selection.

TOPICS

We cordially invite authors to submit their work on data quality management for scientific applications. We are interested in creating a workshop program that covers issues of data quality for scientific workflow systems, curated database systems, data streaming systems and hybrid systems. Submission from both providers of grid infrastructure (computer scientists) and consumers of grid infrastructure (domain scientists) are encouraged. The workshop will provide a venue for producers and consumers to discuss challenges in data quality management and determine future direction of research in this relatively new area of grid computing.

Topics of interest to the workshop include:

•Use cases of data quality from different application domains

•Data quality model for scientific application

•Data integration and data cleansing

•Cleansing and aggregation of streaming data

•Tracking workflow execution state

•Fault tolerance in scientific workflow

•Data quality in curated database

Please contact workshop chairs for further information on other possible topics of interest.

WORKSHOP CHAIRS

Todd Halter

Pacific Northwest National Laboratory, USA

todd[dot]halter[at]pnl[dot]gov


Maria Indrawan.

Monash University, Australia maria[dot]indrawan[at]infotech[dot]monash[dot]edu[dot]au


Eric Stephan

Pacific Northwest National Laboratory, USA

eric[dot]stephan[at]pnl[dot]gov