Difference between revisions of "FAIR Dataset Quality Information"

From Earth Science Information Partners (ESIP)
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<big>'''Coming Soon''' </big><br>  
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== Document ==
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This is the document for community guidelines for consistently curating and representing dataset quality information, in line with the FAIR principles.
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= Overview =
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This document provides resources for developing community guidelines for consistently curating and representing dataset quality information and captures the outcomes. The guidelines aims to help curate dataset quality information that is findable, machine- and human-readable, interoperable, and reusable.
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= Resources =
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<big>'''Multi-dimensions of Data and Information Quality:''' </big><br>
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<big>'''Existing Fitness for Purpose Assessment approaches Through the Full Life Cycle of Earth Science Datasets:''' </big><br>
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<big>'''Dataset-level metadata quality: ''' </big><br>
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<big>'''Portfolio Management and Repository Certifications ''' </big><br>
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<big>'''FAIR Data Principles ''' </big><br>
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<big>'''Organizational Challenges & Approaches ''' </big><br>
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<big>'''Data Quality Management Framework ''' </big><br>  
  
 
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Revision as of 12:24, June 4, 2020

Document

This is the document for community guidelines for consistently curating and representing dataset quality information, in line with the FAIR principles.

Overview

This document provides resources for developing community guidelines for consistently curating and representing dataset quality information and captures the outcomes. The guidelines aims to help curate dataset quality information that is findable, machine- and human-readable, interoperable, and reusable.

Resources

Multi-dimensions of Data and Information Quality:

Existing Fitness for Purpose Assessment approaches Through the Full Life Cycle of Earth Science Datasets:

Dataset-level metadata quality:

Portfolio Management and Repository Certifications

FAIR Data Principles

Organizational Challenges & Approaches

Data Quality Management Framework

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