Citizen Science/Crowdsourcing Tools for Digitization: Difference between revisions

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'''Species- and Taxa-based Digitization Programs and Tools'''  
=='''Species- and Taxa-based Digitization Programs and Tools'''==


*[http://volunteer.ala.org.au/ Atlas of Living Australia Volunteer Portal]  
*[http://volunteer.ala.org.au/ Atlas of Living Australia Volunteer Portal]  
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*[http://www.pwrc.usgs.gov/bpp/ USGS North American Bird Phenology Program] <br>“The North American Bird Phenology Program… exists now as a historic collection of six million migration card observations. Today, in an innovative project to curate the data and make them publically available, the records are being scanned and placed on the internet, where volunteers worldwide transcribe these records and add them into a database for analysis.”  
*[http://www.pwrc.usgs.gov/bpp/ USGS North American Bird Phenology Program] <br>“The North American Bird Phenology Program… exists now as a historic collection of six million migration card observations. Today, in an innovative project to curate the data and make them publically available, the records are being scanned and placed on the internet, where volunteers worldwide transcribe these records and add them into a database for analysis.”  


'''Workflow Procedures, Data Management and Visualization'''  
=='''Workflow Procedures, Data Management and Visualization'''==


*[http://www.apiaryproject.org/ Apiary] - open source web application for extraction of specimen data from herbarium sheet images.<br>“The University of North Texas’ [http://www.txcdk.unt.edu/ Texas Center for Digital Knowledge] (TxCDK) and the [http://www.brit.org/ Botanical Research Institute of Texas] (BRIT) are conducting fundamental research with the goal of identifying how human intelligence can be combined with machine processes for effective and efficient transformation of textual museum specimen label information into high-quality machine-processible parsed data… The results of this research will yield a new workflow model for effective and efficient label data transformation, correction, and enhancement that can be replicated, adapted, and transferred to herbaria and other natural history collections.”  
*[http://www.apiaryproject.org/ Apiary] - open source web application for extraction of specimen data from herbarium sheet images.<br>“The University of North Texas’ [http://www.txcdk.unt.edu/ Texas Center for Digital Knowledge] (TxCDK) and the [http://www.brit.org/ Botanical Research Institute of Texas] (BRIT) are conducting fundamental research with the goal of identifying how human intelligence can be combined with machine processes for effective and efficient transformation of textual museum specimen label information into high-quality machine-processible parsed data… The results of this research will yield a new workflow model for effective and efficient label data transformation, correction, and enhancement that can be replicated, adapted, and transferred to herbaria and other natural history collections.”  
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*[http://vizzuality.com/ Vizzuality] ([http://www.citizensciencealliance.org/ Citizen Science Alliance ]representatives)<br>
*[http://vizzuality.com/ Vizzuality] ([http://www.citizensciencealliance.org/ Citizen Science Alliance ]representatives)<br>
“From data visualization to citizen science, it is all about stories that matter.”  
“From data visualization to citizen science, it is all about stories that matter.”


*[https://github.com/zooniverse/Scribe Zooniverse Scribe ]<br>
*[https://github.com/zooniverse/Scribe Zooniverse Scribe ]<br>