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
2024
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
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Resources
- Harmonizing quality measures of FAIRness assessment towards machine-actionable quality information, Peng et al., 2024
- A Practical Guide for Open, Free & FAIR NASA Earth Science Data Products, Peng et al., 2024
- Essay: The FAIR Assessment Conundrum: Reflections on Tools and Metrics, Candela et al., 2024
- Data Management Quality Management Resources Catalog
- Recommendations from the NASA Data Quality Working Group, 2019
- White paper: Understanding the Various Perspectives of Earth Science Observational Data Uncertainty, Moroni et al., 2019
- GEOSS Data Management Principles
- GEOSS DMP Implementation Guidelines - see DMP-6 on Quality Control
- Ensuring and Improving Information Quality for Earth Science Data and Products, Ramapriyan et al., 2017
- GeoViQua - QUAlity aware VIsualization for the Global Earth Observation System of systems
- QA4EO'11 October 2011 agenda and presentations
- WDS/RDA Assessment of Data Fitness for Use WG
- WDS/RDA Assessment of Data Fitness for Use WG - RDA Plenary 10 session
- WMO Guidelines on Climate Data Management (WMO-TD No. 1376) (2007)
- A methodology for information quality assessment - containing an excellent summary of research on multi-dimensions of information quality
- Products and Services Data Quality - discussion from 2006; dormant web site
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Meeting Notes
References
Topics
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Get Involved
The Information Quality Cluster has once-a-month telecons.
- To join the meeting from your computer, tablet or smartphone, click:
- You can also dial in using your phone.
- One tap mobile:
- +13017158592,,89140578368# United States (Washington, DC)
- +13126266799,,89140578368# United States (Chicago)
- Dial by Location (United States Area Code):
- Washington, DC: +1(301)715-8592
- Chicago: +1(312)626-6799
- New York: +1(929)205-6099
- Houston: +1(346)248-7799
- San Jose: +1(669)900-6833
- Tacoma: +1(253)215-8782
- Cluster Coordinators: Zhong Liu (chair), Yaxing Wei, Bob Downs, David Moroni, Ge Peng, and H. K. "Rama" Ramapriyan
Information_Quality
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