Information Quality

From Earth Science Information Partners (ESIP)

Information Quality

Welcome to the ESIP Information Quality Cluster

The objective of IQ cluster is to bring together people from various disciplines to assess aspects of quality of remote sensing data. We will be learning and sharing best practices with a goal to build a framework for consistent capture, harmonization and presentation of data quality for the purposes of climate change studies, earth science and applications. This wikispace will be taking shape in the coming months to describe activities within the ESIP Federation related to Information Quality.

Events and Activities

Regular monthly telecons will be will be established soon.

What's New

Topics

  • Terminology/taxonomy
  • Level 2 Quality flags
  • Level 3 "Quality"
  • Data Intercomparison
  • Best practices in different communities
  • Identify fit-for-purpose criteria for data quality
  • Data quality ontology

Resources

References

  • Embury, Suzanne M, Paolo Missier, Sandra Sampaio, and R Mark Greenwood. “Incorporating Domain-Specific Information Quality Constraints into Database Queries.” Journal of Data and Information Quality (JDIQ) 1, no. 2 (2009): 1-31. No single agreed definition of information quality exists
  • A. Preece, P. Missier, S. Embury, B. Jin, and M. Greenwood. 2008. An ontology-based approach to handling information quality in e-Science. Concurr. Comput. : Pract. Exper. 20, 3 (March 2008), 253-264. DOI=10.1002/cpe.v20:3 http://dx.doi.org/10.1002/cpe.v20:3

Get Involved

The Information Quality Cluster will have regular monthly telecons.

Get Involved

   * Friday 1100 PT/1200 MT/1300 CT/1400 ET
   * Call in # 1-877-669-3239
   * Participant access code is: *23133897*

Acknowledgment: This wiki format and structure was shamelessly stolen--make that "reused"--from the Semantic Web Cluster. The chair of the Cluster is Gregory Leptoukh
Information_Quality