Information Quality

From Federation of Earth Science Information Partners
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(Resources (related activities))
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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]
* [http://www.qa4eo.org/workshop_harwell11.html QA4EO'11 October 2011 agenda and presentations]
 
 
* [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]
 
* [https://www.rd-alliance.org/groups/assessment-data-fitness-use WDS/RDA Assessment of Data Fitness for Use WG]
 
* [https://www.rd-alliance.org/groups/assessment-data-fitness-use WDS/RDA Assessment of Data Fitness for Use WG]
 
* [https://www.rd-alliance.org/wg-wdsrda-assessment-data-fitness-use-rda-10th-plenary-meeting WDS/RDA Assessment of Data Fitness for Use WG - RDA Plenary 10 session]
 
* [https://www.rd-alliance.org/wg-wdsrda-assessment-data-fitness-use-rda-10th-plenary-meeting WDS/RDA Assessment of Data Fitness for Use WG - RDA Plenary 10 session]
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* [https://pdfs.semanticscholar.org/19f3/255f143b7e611731cca13ab5fccb33e03708.pdf A methodology for information quality assessment - containing an excellent summary of research on multi-dimensions of information quality]
 
* [https://pdfs.semanticscholar.org/19f3/255f143b7e611731cca13ab5fccb33e03708.pdf A methodology for information quality assessment - containing an excellent summary of research on multi-dimensions of information quality]
 
* [http://wiki.esipfed.org/index.php/P%26S_Data_Quality Products and Services Data Quality] - discussion from 2006; dormant web site
 
* [http://wiki.esipfed.org/index.php/P%26S_Data_Quality Products and Services Data Quality] - discussion from 2006; dormant web site
 
 
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Revision as of 09:49, 17 October 2017

Information Quality

Welcome to the ESIP Information Quality Cluster
Cluster Chair: H. K. "Rama" Ramapriyan
Co-Chairs: Ge Peng, David Moroni

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.

2016 Strategic Plan: 2016IQCPlan

Events and Activities

2016-2017

2014-2015

Pre-2014 Items

Topics

Meeting Notes

References

Resources (related activities)

Get Involved

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

  • To join the meeting from your computer, tablet or smartphone, click:

https://www.gotomeeting.com/join/240974205

  • You can also dial in using your phone.
    • United States: +1 (312) 757-3121
    • Access Code: 240-974-205
  • Cluster Coordinators: H. K. "Rama" Ramapriyan, David Moroni, Ge Peng


Information_Quality

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