Difference between revisions of "Information Quality"
From Earth Science Information Partners (ESIP)
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__NOTOC__ | __NOTOC__ | ||
<big><center>'''Welcome to the ESIP Information Quality Cluster'''</center></big> | <big><center>'''Welcome to the ESIP Information Quality Cluster'''</center></big> | ||
− | <center>Cluster Chair: Zhong Liu </center> | + | <center>Cluster Chair: [https://science.gsfc.nasa.gov/sci/bio/zhong.liu-1 Zhong Liu] </center> |
− | <center>Co-Chairs: [https://wiki.esipfed.org/User:Downs Robert R. Downs], [[User:GePeng|Ge Peng]], Yaxing Wei, and David Moroni</center> | + | <center>Co-Chairs: [https://wiki.esipfed.org/User:Downs Robert R. Downs], [[User:GePeng|Ge Peng]], Yaxing Wei, and [https://orcid.org/0000-0003-2994-557X David Moroni]</center> |
<center>Former Chair: [[User: Ramapriyan|H. K. "Rama" Ramapriyan]]</center> | <center>Former Chair: [[User: Ramapriyan|H. K. "Rama" Ramapriyan]]</center> | ||
<center>Community Fellow: N/A</center> | <center>Community Fellow: N/A</center> | ||
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===Events and Activities=== | ===Events and Activities=== | ||
+ | <big>2024</big> | ||
+ | |||
+ | * 2024-07-26: ESIP July Meeting session: "''[https://2024julyesipmeeting.sched.com/event/1eVN7/mt-mitchell-evolving-information-quality-for-earth-sciences-new-challenges-and-opportunities Evolving Information Quality For Earth Sciences: New Challenges and Opportunities]''" | ||
+ | * 2024-01-26: ESIP January Meeting session: "''[https://2024januaryesipmeeting.sched.com/event/1XYQj/embracing-data-quality-for-ai-ready-open-data Embracing Data Quality for AI-ready Open Data]''" | ||
+ | |||
<big>2023</big> | <big>2023</big> | ||
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===Resources=== | ===Resources=== | ||
+ | *[https://doi.org/10.1080/17538947.2024.2390431 Harmonizing quality measures of FAIRness assessment towards machine-actionable quality information], Peng et al., 2024 | ||
+ | *[https://doi.org/10.5067/DOC/ESCO/ESDSWG-0002V1 A Practical Guide for Open, Free & FAIR NASA Earth Science Data Products], Peng et al., 2024 | ||
+ | *Essay: [https://doi.org/10.5334/dsj-2024-033 The FAIR Assessment Conundrum: Reflections on Tools and Metrics], Candela et al., 2024 | ||
*[[IQ Data Management Quality Management Resources Catalog|Data Management Quality Management Resources Catalog]] | *[[IQ Data Management Quality Management Resources Catalog|Data Management Quality Management Resources Catalog]] | ||
*[https://www.earthdata.nasa.gov/esdis/esco/standards-and-references/recommendations-from-the-data-quality-working-group Recommendations from the NASA Data Quality Working Group], 2019 | *[https://www.earthdata.nasa.gov/esdis/esco/standards-and-references/recommendations-from-the-data-quality-working-group Recommendations from the NASA Data Quality Working Group], 2019 | ||
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*[https://www.earthobservations.org/documents/dswg/201504_data_management_principles_long_final.pdf GEOSS Data Management Principles] | *[https://www.earthobservations.org/documents/dswg/201504_data_management_principles_long_final.pdf GEOSS Data Management Principles] | ||
*[https://www.earthobservations.org/documents/geo_xii/GEO-XII_10_Data%20Management%20Principles%20Implementation%20Guidelines.pdf GEOSS DMP Implementation Guidelines - see DMP-6 on Quality Control] | *[https://www.earthobservations.org/documents/geo_xii/GEO-XII_10_Data%20Management%20Principles%20Implementation%20Guidelines.pdf GEOSS DMP Implementation Guidelines - see DMP-6 on Quality Control] | ||
+ | *[https://doi.org/10.1045/july2017-ramapriyan Ensuring and Improving Information Quality for Earth Science Data and Products], Ramapriyan et al., 2017 | ||
*[http://www.geoviqua.org/ GeoViQua - QUAlity aware VIsualization for the Global Earth Observation System of systems] | *[http://www.geoviqua.org/ GeoViQua - QUAlity aware VIsualization for the Global Earth Observation System of systems] | ||
*[http://www.qa4eo.org/workshop_harwell11.html QA4EO'11 October 2011 agenda and presentations] | *[http://www.qa4eo.org/workshop_harwell11.html QA4EO'11 October 2011 agenda and presentations] | ||
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*You can also dial in using your phone. | *You can also dial in using your phone. | ||
− | + | *One tap mobile: | |
**+13017158592,,89140578368# United States (Washington, DC) | **+13017158592,,89140578368# United States (Washington, DC) | ||
**+13126266799,,89140578368# United States (Chicago) | **+13126266799,,89140578368# United States (Chicago) | ||
− | + | *Dial by Location (United States Area Code): | |
**Washington, DC: +1(301)715-8592 | **Washington, DC: +1(301)715-8592 | ||
**Chicago: +1(312)626-6799 | **Chicago: +1(312)626-6799 | ||
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*Access Code: 744012 | *Access Code: 744012 | ||
− | *'''Cluster Coordinators:''' Zhong | + | *'''Cluster Coordinators:''' Zhong Liu (chair), Yaxing Wei, Bob Downs, David Moroni, Ge Peng, and H. K. "Rama" Ramapriyan |
Latest revision as of 07:48, September 7, 2024
Information Quality
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
Meeting Notes
References
Topics |
Get InvolvedThe Information Quality Cluster has once-a-month telecons.
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