Difference between revisions of "Information Quality"
From Earth Science Information Partners (ESIP)
(→2021: Add an event about the call-to-action paper) |
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===Events and Activities=== | ===Events and Activities=== | ||
− | ==== 2021 ==== | + | ====2021==== |
+ | *2021-05-05: Paper "[http://doi.org/10.5334/dsj-2021-019 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. '''<span style="color: #00ff00;">NEW!</span>''' | ||
*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 [https://www.youtube.com/playlist?list=PLG25fMbdLRa5uSTRFrzqY7fFQ1LIroKIu Youtube]. | *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 [https://www.youtube.com/playlist?list=PLG25fMbdLRa5uSTRFrzqY7fFQ1LIroKIu Youtube]. | ||
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===Resources=== | ===Resources=== | ||
− | *[[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]] |
*White paper: [https://doi.org/10.6084/m9.figshare.10271450.v1 Understanding the Various Perspectives of Earth Science Observational Data Uncertainty], Moroni et al., 2019 | *White paper: [https://doi.org/10.6084/m9.figshare.10271450.v1 Understanding the Various Perspectives of Earth Science Observational Data Uncertainty], Moroni et al., 2019 | ||
*[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] |
Revision as of 15:18, May 5, 2021
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.
2015-2020 Goals:
- Bring together people from various disciplines to assess aspects of quality of Earth science data
- Establish and publish baseline of standards and best practices for data quality for adoption by inter-agency and international data providers
- Build framework for consistent capture, harmonization, and presentation of data 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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