Information Quality

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 2024-07-26: ESIP July Meeting session: "Evolving Information Quality For Earth Sciences: New Challenges and Opportunities" 2024-01-26: ESIP January Meeting session: "Embracing Data Quality for AI-ready Open Data" 2023 2023-07-18: ESIP July Meeting session: "Information Quality for Open Science across Disciplines" 2023-01-24: ESIP Winter Meeting session: "Open Science and Information Quality across ESIP" 2022 2022-07-19: ESIP Summer Meeting session: "Towards A Community Guide for FAIR Digital Earth Science Data and Quality Information – Approaches and Practices Promoting Trustworthy FAIR Data and Repositories" 2022-06-23: SciDataCon 2022 session: "Enhancing Research Transparency and Trustworthiness by Making Dataset Quality Information Findable, Accessible, Interoperable and Reusable (FAIR)" 2022-06-22: RDA 19th Plenary session: "Defining, managing, and reporting dataset quality in a multidisciplinary Open Data space" 2022-03-31: Peer-review paper "Global Community Guidelines for Documenting, Sharing, and Reusing Quality Information of Individual Digital Datasets" published in the Data Science Journal, led by IQC co-chairs. 2022-01-20: ESIP Winter Meeting session: "Enhancing the Guidelines for Sharing and reusing dataset quality information" 2021 2021-11-03: RDA 18th Plenary session: "Representing and Communicating Data Quality Information" 2021-10-19: SciDataCon session: "The State of Documenting and Reporting Data and Information Quality for Supporting Open Science" 2021-10-01: White paper: "International Community Guidelines for Sharing and Reusing Quality Information of Individual Earth Science Datasets" - the outcome of the international effort led by IQC co-chairs. 2021-07-22: ESIP Summer Meeting session:"Toward Improving Representation of Data Quality Information" 2021-05-05: Peer-review paper "Call to Action for Global Access to and Harmonization of Quality Information of Individual Earth Science Datasets", an international effort led by IQC co-chair Ge Peng, was published in the Data Science Journal. 2021-03-31: ESIP IQC had a joint meeting with the Australian/New Zealand Data Quality Interest Group (IG). Presentation recordings can be accessed on Youtube. 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 2019-07-16: ESIP Summer Meeting 2019 - IQC Breakout Session - Presentations and notes Pre-2019 Items

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 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

Meeting Notes Notes from IQC telecons can be found here Presentations from IQC monthly telecons References Agency Policies on Information Quality IQ Papers IQ Presentations IQ Standards IQ Webpages Wiki Pages Topics Technical Topics Communities Methodologies

Get Involved Email List: Subscribe Email archive: Archives The Information Quality Cluster has once-a-month telecons. Telecons: Regular telecon agenda and notes Monthly Telecon Dates and Times, 4th Tues./Month at 2 PM ET/11 AM PT To join the meeting from your computer, tablet or smartphone, click: https://us02web.zoom.us/j/89140578368?pwd=TlJmU3ZSWUFscVU0UFoyd29ORXNudz09 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 Access Code: 744012 Cluster Coordinators: Zhong Liu (chair), Yaxing Wei, Bob Downs, David Moroni, Ge Peng, and H. K. "Rama" Ramapriyan Information_Quality