Information Quality

From Earth Science Information Partners (ESIP)

Information Quality

Welcome to the ESIP Information Quality Cluster
Cluster Chair: Zhong Liu
Co-Chairs: Robert R. Downs, Ge Peng, Yaxing Wei, and David Moroni
Former Chair: H. K. "Rama" Ramapriyan
Community Fellow: N/A

Vision: Become internationally recognized as an authoritative and responsive resource of information and guidance to data providers on how best to implement data quality standards and best practices for their science data systems, datasets, and data/metadata dissemination services.

Goals:

  • Bring together people from various disciplines to assess aspects of quality of Earth science data and information
  • Establish and publish baseline of standards and best practices for dataset quality for adoption by inter-agency and international data providers
  • Build framework for consistent capture, harmonization, and presentation of dataset quality for the purposes of climate change studies, Earth science and applications

NOTE: The efforts and goals of this cluster are motivated by the participants of the cluster, so new ideas and participants are always welcome.

Strategic Plan [2016]: 2016IQCPlan

Events and Activities

2023

2022

2021

2020

  • 2020-07-13: Virtual Pre-ESIP Workshop. The purpose of this workshop, in a nutshell, is to bring together national and international subject matter experts (SMEs) on dataset quality to kick off the development of community guidelines for consistently curating and representing dataset quality information. Pre-ESIP Workshop: About. IQC POC: Ge Peng.
  • 2020-01-08: ESIP Winter Meeting session - Citizen Science Data and Information Quality

2019

Pre-2019 Items

Resources

Meeting Notes

References

Topics

Get Involved

The Information Quality Cluster has once-a-month telecons.

  • You can also dial in using your phone.
    • United States: +1 (224) 501-3412
    • Access Code: 841-228-325
  • Cluster Coordinators: Yaxing Wei, Bob Downs, David Moroni, Ge Peng, and , H. K. "Rama" Ramapriyan


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