Difference between revisions of "Digitization Template 6"

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=The following tables contain all the Workshop/Symposia wikis and their corresponding Reports=
 
=The following tables contain all the Workshop/Symposia wikis and their corresponding Reports=
== Calendar Year 2014 Wikis and Reports==
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== Calendar Year 2014 ==
 
! scope="col" class="unsortable " width="50%"|  Workshops and Symposia Wikis
 
! scope="col" class="unsortable " width="50%"|  Workshops and Symposia Wikis
 
! scope="col" class="unsortable " width="50%"|  Workshop Reports
 
! scope="col" class="unsortable " width="50%"|  Workshop Reports
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== Calendar Year 2013 Wikis and Reports ==
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== Calendar Year 2013==
  
 
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{| class="mw-collapsible mw-collapsed wikitable" border="1"
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== Calendar Year 2012 Wikis and Reports==
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== Calendar Year 2012 ==
 
{| class="mw-collapsible mw-collapsed wikitable" border="1"
 
{| class="mw-collapsible mw-collapsed wikitable" border="1"
 
! scope="col" class="unsortable" width="50%"|  Workshops and Symposia Wikis
 
! scope="col" class="unsortable" width="50%"|  Workshops and Symposia Wikis

Revision as of 10:58, 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

Interest/Working Groups

The following tables contain all the Workshop/Symposia wikis and their corresponding Reports

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.