Data Quality

1
Data Quality

• Two take-away messages
• Data quality ltltequates togt Fitness for Use
• Documentation is essential for
• Data Discovery (Metadata)
• Data Set Level
• Record Level
• Assessing Fitness for Purpose.

2
Data Quality

• So what are we doing to assist with improving
  overall data quality?
• GBIF developing Data Cleaning Toolkit
• Guidelines
• Tools
• Standards
• On-line and CD
• An International consortium is
• Developing new tools/methodologies (for data
  cleaning)
• Building global Gazetteers
• On-line visualisation tools

3
New Biodiversity Informatics Journal

• Biodiversity Informatics
• Fully Electronic
• Peer Reviewed
• Articles, Opinions, etc.
• http//jbi.nhm.ku.edu/about.php