Digitization Template 6: Difference between revisions
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*[[Paleo Digitization Working Group| Paleontology Digitization Working Group]] | *[[Paleo Digitization Working Group| Paleontology Digitization Working Group]] | ||
*[[SCNet| Small Collections Network Working Group]] | *[[SCNet| Small Collections Network Working Group]] | ||
==Workshop/Symposia Wikis and Reports== | ==Workshop/Symposia Wikis and Reports== | ||
The following collapsible tables contain all the Workshop/Symposia wikis and their corresponding Reports, in reverse chronological order | The following collapsible tables contain all the Workshop/Symposia wikis and their corresponding Reports, in reverse chronological order | ||
== Calendar Year 2014 == | == Calendar Year 2014 == |
Revision as of 16:49, 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 take you to Interest/Working Groups focused on Digitization. For other working groups please use the following link iDigBio Working Groups
- International Whole-Drawer Digitization Interest Group
- NANSH Working Group (North American Network of Small Herbaria)
- Fluid-preserved Arthropod and Microscopic Slide Imaging Interest Group
- Paleontology Digitization Working Group
- Small Collections Network Working Group
Workshop/Symposia Wikis and Reports
The following collapsible tables contain all the Workshop/Symposia wikis and their corresponding Reports, in reverse chronological order
Calendar Year 2014
Calendar Year 2013
Calendar Year 2012
Workshops and Symposia Wikis | Workshop Reports |
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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.