Difference between revisions of "Digitization Template 6"

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==The following collapsible tables contain all the Workshop/Symposia wikis and their corresponding Reports yearly, in reverse chronological order==
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==Workshop/Symposia Wikis and Reports==
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The following collapsible tables contain all the Workshop/Symposia wikis and their corresponding Reports yearly, in reverse chronological order==
  
 
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=== Calendar Year 2014 ===
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== Calendar Year 2013==
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=== Calendar Year 2013===
  
 
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== Calendar Year 2012 ==
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=== Calendar Year 2012 ===
 
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! scope="col" class="unsortable" width="50%"|  Workshops and Symposia Wikis
 
! scope="col" class="unsortable" width="50%"|  Workshops and Symposia Wikis

Revision as of 11:29, 30 September 2014

This page provides resources and information for the series of digitization training workshops being conducted by iDigBio as well as a plethora of digitization information and resources. Included is a growing list of links to documents, websites, videos, presentations, and other important information related to biological collection digitization.

iDigBio Intro

The following links provide general introductory information on iDigBio.

Interest/Working Groups

The following links are to Interest/Working Groups focused on Digitization. For other working groups please use the following link iDigBio Working Groups

Workshop/Symposia Wikis and Reports

The following collapsible tables contain all the Workshop/Symposia wikis and their corresponding Reports yearly, in reverse chronological order==

Calendar Year 2014

Workshops and Symposia Wikis Workshop Reports

Calendar Year 2013

Workshops and Symposia Wikis Workshop Reports

class="mw-collapsible-content"

class="mw-collapsible-content"

Calendar Year 2012

Workshops and Symposia Wikis Workshop Reports

Digitization Avenue

The following links provide information on the task clusters that enable efficient and effective digitization of Biological Collections. If you are unfamiliar with the task clusters please read the following Five task clusters that enable efficient and effective digitization of biological collections.