Assessing data quality

This is a large section and represents a mini-course within the course.  Students need to go through the Power Points as a minimum requirement.  The provided reading material augments the Power Point presentations.

Please access and review ALL Power Point presentations prepared by Arthur Chapman
http://planet.uwc.ac.za/nisl/BCB_BIM_honours/Dataquality%20and%20cleaning/main%20readings/power%20points/

Provided Reading Material 

Principles of data quality
http://planet.uwc.ac.za/nisl/BCB_BIM_honours/Dataquality%20and%20cleaning/Chapman_2005_Principles%20of%20Data%20Quality_GBIF.pdf

Principles and methods of data cleaning
http://planet.uwc.ac.za/nisl/BCB_BIM_honours/Dataquality%20and%20cleaning/Chapman_2005_Principles%20and%20Methods%20of%20Data%20Cleaning_GBIF.pdf

Guide to best practices for georeferencing  (actually this summarises a lot of the course up to this point so is very good for summarising what you have already learnt).
http://planet.uwc.ac.za/nisl/BCB_BIM_honours/Dataquality%20and%20cleaning/main%20readings/Chapman%20and%20Wieczorek_2006_Best%20Practices.pdf


Peer-review material for discussion

Geographic distribution of wild potato species
http://www.amjbot.org/content/88/11/2101.full.pdf+html

Assessing the geographical representativeness of Genebank collections: the case of the Bolivian wild potatoes
http://www.diva-gis.org/docs/bias.pdf

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