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[[Category:Transcription Hackathon]]
[[Category:Transcription Hackathon]][[Category:Workshop]]


'''Notes from Nature/iDigBio Hackathon to Further Enable Public Participation in the Online Transcription of Biodiversity Specimen Labels'''  
'''Notes from Nature/iDigBio Hackathon to Further Enable Public Participation in the Online Transcription of Biodiversity Specimen Labels'''  


December 16–20 at the University of Florida, Gainesville  
December 16–20 at the University of Florida, Gainesville  
{| class="wikitable" style="float:right;"
! colspan="2" style="background:#D58B28;width:200px;font-size:10pt" | Digitizing the Past and Present for the Future
|-
| colspan="2" style="text-align:center;font-size:7pt" | <!--YOU CAN INSERT A NEW IMAGE FOR THE LOGO BETWEEN THE COLON AND THE PIPE-->[[Image:IDigBio Logo RGB.png|center|300px|iDigBio Logo RGB.png]]<br />
|-
!colspan="2" style="background:#D58B28;text-align:center;font-size:9pt" | Quick Links for Transcription Hackathon Workshop
|-
|[https://docs.google.com/document/d/1TyluwM1rMcq7O_nidy8CLJFMW4FrOPjsHkrLVho5cVU/edit?usp=sharing Transcription Hackathon Workshop Agenda]
|-
|[https://www.idigbio.org/biblio?f%5bkeyword%5d=274 Transcription Hackathon Workshop Biblio Entries]
|-
|[https://www.idigbio.org/content/citscribe-hackathon Transcription Hackathon Workshop Report]
|}


== Agenda and Logistics  ==
== Agenda and Logistics  ==


*[https://www.idigbio.org/content/hackathon-enable-public-participation-online-transcription-biodiversity-specimen-labels Hackathon Advertisement]  
*[https://www.idigbio.org/content/hackathon-enable-public-participation-online-transcription-biodiversity-specimen-labels Hackathon Advertisement]  
*[https://www.idigbio.org/wiki/index.php/Transcription_Hackathon_Draft Agenda| Agenda]]
*[[Transcription Hackathon Draft Agenda| Agenda]]
*[https://www.idigbio.org/wiki/images/8/8a/IDigBio_Public_Participation_in_Digitization_Workshop_Logistics_4Dec13.pdf Logistics Document]  
*[[Media:IDigBio_Public_Participation_in_Digitization_Workshop_Logistics_4Dec13.pdf|Logistics Document]]
*[https://www.idigbio.org/wiki/images/8/83/Transcription_Hackathon_Participant_List_23Dec13.pdf Participants List]  
*[[Media:Transcription_Hackathon_Participant_List_23Dec13.pdf|Participants List]]
*[http://idigbio.adobeconnect.com/citscribe AdobeConnect room for collaboration after the hackathon, then for connection to the workshop remotely] (Send an email to Austin Mast, if you'd like to use the room for additional collaboration after the hackathon.)
*[http://idigbio.adobeconnect.com/citscribe AdobeConnect room for collaboration after the hackathon, then for connection to the workshop remotely] (Send an email to Austin Mast, if you'd like to use the room for additional collaboration after the hackathon.)


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*[https://www.facebook.com/media/set/?set=a.645283388848944.1073741833.215120891865198&type=1 Citscribe Hackathon Facebook Album]
*[https://www.facebook.com/media/set/?set=a.645283388848944.1073741833.215120891865198&type=1 Citscribe Hackathon Facebook Album]
*Twitter stuff: @iDigBio @NfromN hashtag #CITScribe
*Twitter stuff: @iDigBio @NfromN hashtag #CITScribe
==Report==
*[https://www.idigbio.org/content/citscribe-hackathon Citscribe Hackathon Report]


== Coordination  ==
== Coordination  ==


*[[Transcription Hackathon Interoperability Planning| Interoperability Track]  
*[[Transcription Hackathon Interoperability Planning| Interoperability Track]]
*[[Transcription Hackathon OCR Integration Planning| OCR Integration Track]  
*[[Transcription Hackathon OCR Integration Planning| OCR Integration Track]]
*[[Transcription Hackathon Reconciliation of Replicates Planning| QA/QC and Reconciliation of Replicates Track]  
*[[Transcription Hackathon Reconciliation of Replicates Planning| QA/QC and Reconciliation of Replicates Track]]
*[[Transcription Hackathon User Engagement Planning| User Engagement Track]
*[[Transcription Hackathon User Engagement Planning| User Engagement Track]]
*[https://docs.google.com/document/d/1ns_10ZMBRMOZX1DzfRBdALjhKtr_x8yYaAZLJH6YHyI/edit?usp=sharing Participants Interest in Tracks]
*[https://docs.google.com/document/d/1ns_10ZMBRMOZX1DzfRBdALjhKtr_x8yYaAZLJH6YHyI/edit?usp=sharing Participants Interest in Tracks]


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*Joshua Campbell, iDigBio: [https://www.idigbio.org/sites/default/files/workshop-presentations/citscribe/CampbelliDigBioCrowdsourcingHackathon2013.pdf Herbarium Labels Transcription Crowdsourcing Consensus]
*Joshua Campbell, iDigBio: [https://www.idigbio.org/sites/default/files/workshop-presentations/citscribe/CampbelliDigBioCrowdsourcingHackathon2013.pdf Herbarium Labels Transcription Crowdsourcing Consensus]
*Yonggang Liu, ACIS iDigBio: [https://www.idigbio.org/sites/default/files/workshop-presentations/citscribe/Yonggang_image_ingestion_appliance.pdf iDigBio Image Ingestion Appliance]
*Yonggang Liu, ACIS iDigBio: [https://www.idigbio.org/sites/default/files/workshop-presentations/citscribe/Yonggang_image_ingestion_appliance.pdf iDigBio Image Ingestion Appliance]
*Paul Kimbereley, Smithsonian: [https://www.idigbio.org/sites/default/files/workshop-presentations/citscribe/SI_Center.pdf Smithsonian Transcription Center]
*Paul Kimberly, Smithsonian: [https://www.idigbio.org/sites/default/files/workshop-presentations/citscribe/SI_Center.pdf Smithsonian Transcription Center]
*William Ulate, Missouri Botanical Garden: [[Media:Purposeful_Gaming_BHL_Dec_2013.pdf|Purposeful Gaming and BHL]]


== Development Resources  ==
== Development Resources  ==
* [https://github.com/idigbio-citsci-hackathon GitHub organization for this Transcription Hackathon]
* [https://github.com/idigbio-citsci-hackathon GitHub organization for this Transcription Hackathon]
* 4 existing crowdsourcing datasets from Notes From Nature. Datasets contain transcriptions of different types of collections labels. Read more [https://docs.google.com/document/d/1UCz5WblnNIvqBErX-XeWgS9mf69qFhycHqntQOGnPp4/edit?usp=sharing here]. The datasets were shared only with the hackaton participants through dropbox once anonymized. It will be made public when we get a definitive approval from NfN.
* 4 existing crowdsourcing datasets from Notes From Nature. Datasets contain transcriptions of different types of collections labels. Read more [https://docs.google.com/document/d/1UCz5WblnNIvqBErX-XeWgS9mf69qFhycHqntQOGnPp4/edit?usp=sharing here]. The datasets were shared only with the hackathon participants through dropbox once anonymized. It will be made public when we get a definitive approval from NfN.
** Calbug dataset
** Calbug dataset
** Herbarium labels—The filenames with "USAM_" represent a nearly complete set of recent transcriptions from a collection (the University of South Alabama Herbarium), four replicates for most specimens (I think).
** Herbarium labels—The filenames with "USAM_" represent a nearly complete set of recent transcriptions from a collection (the University of South Alabama Herbarium), four replicates for most specimens (I think).
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* Gold Images from aOCR Hackthon:
* Gold Images from aOCR Hackthon:
** CSV file with URLs for the Images on iDigBio beta server (Uploaded by Image Ingestion Appliance): [http://www.acis.ufl.edu/~yonggang/idigbio/recordset/gold/ent.csv ent], [http://www.acis.ufl.edu/~yonggang/idigbio/recordset/gold/herb.csv herb],[http://www.acis.ufl.edu/~yonggang/idigbio/recordset/gold/lichens.csv lichens].
** CSV file with URLs for the Images on iDigBio beta server (Uploaded by Image Ingestion Appliance): [http://www.acis.ufl.edu/~yonggang/idigbio/recordset/gold/ent.csv ent], [http://www.acis.ufl.edu/~yonggang/idigbio/recordset/gold/herb.csv herb],[http://www.acis.ufl.edu/~yonggang/idigbio/recordset/gold/lichens.csv lichens].
* Code from the aOCR Hackthon:
* Code from the aOCR Hackthon:
** HandwritingDetection (https://github.com/idigbio-aocr): an algorithm that separates images into sets with no handwriting, little handwriting (mostly text typed or printed), lots of handwriting, based on the noise generated by the OCR software. [http://manuscripttranscription.blogspot.com/2013/02/detecting-handwriting-in-ocr-text.html Read more at Ben's blog]. This could be used to rank which images are in more need for human transcription.
** HandwritingDetection (https://github.com/idigbio-aocr): an algorithm that separates images into sets with no handwriting, little handwriting (mostly text typed or printed), lots of handwriting, based on the noise generated by the OCR software. [http://manuscripttranscription.blogspot.com/2013/02/detecting-handwriting-in-ocr-text.html Read more at Ben's blog]. This could be used to rank which images are in more need for human transcription.
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* Hi all - (Paul Flemons).
* Hi all - (Paul Flemons).
**I have uploaded a number of files:
**I have uploaded a number of files:
***[https://www.idigbio.org/wiki/index.php/File:OpenRefine_procedures_for_EVENTS_1212a.pdf a description of Open Refine procedures used for matching BVP fields to EMu EVENTS]
***[[Media:OpenRefine_procedures_for_EVENTS_1212a.pdf|a description of Open Refine procedures used for matching BVP fields to EMu EVENTS]]
***[https://www.idigbio.org/wiki/index.php/File:Preparing_BVP_data_for_import_into_EMu_-_process_1212a.pdf Detailed process of preparing BVP data for EMu]
***[[Media:Preparing_BVP_data_for_import_into_EMu_-_process_1212a.pdf|Detailed process of preparing BVP data for EMu]]
***[https://www.idigbio.org/wiki/index.php/File:Preparing_BVP_data_for_import_into_EMu_-_overview.pdf Overview of preparing BVP data for EMu]
***[[Media:Preparing_BVP_data_for_import_into_EMu_-_overview.pdf|Overview of preparing BVP data for EMu]]
***[https://www.idigbio.org/wiki/index.php/File:VisioDiagramofProcess.JPG Diagram of the process of preparing data from BVP for EMu]
***[[Media:VisioDiagramofProcess.JPG|Diagram of the process of preparing data from BVP for EMu]]


*From Steve Raden: some background on Zooniverse's design
*From Steve Raden: some background on Zooniverse's design

Latest revision as of 15:35, 3 February 2015


Notes from Nature/iDigBio Hackathon to Further Enable Public Participation in the Online Transcription of Biodiversity Specimen Labels

December 16–20 at the University of Florida, Gainesville

Digitizing the Past and Present for the Future
iDigBio Logo RGB.png

Quick Links for Transcription Hackathon Workshop
Transcription Hackathon Workshop Agenda
Transcription Hackathon Workshop Biblio Entries
Transcription Hackathon Workshop Report


Agenda and Logistics

Media

Report

Coordination

Presentations

Development Resources

  • GitHub organization for this Transcription Hackathon
  • 4 existing crowdsourcing datasets from Notes From Nature. Datasets contain transcriptions of different types of collections labels. Read more here. The datasets were shared only with the hackathon participants through dropbox once anonymized. It will be made public when we get a definitive approval from NfN.
    • Calbug dataset
    • Herbarium labels—The filenames with "USAM_" represent a nearly complete set of recent transcriptions from a collection (the University of South Alabama Herbarium), four replicates for most specimens (I think).
    • Macrofungi labels
    • Ornithological dataset
  • For those interested in experimenting with the images that have been used for public participation in transcription:
    • Herbarium label images: the set of ca. 16,000 "USAM" images used for some of the herbarium transcriptions is available at USAM Herbarium Images. This is several GB worth of image files. To get them, you could use the DownloadThemAll Firefox plugin.
  • CYWG iDigBio Image Ingestion Appliance:
    • The appliance can be used to ingest the images to be used by the crowdsourcing service into the iDigBio storage, and made publicly accessible through HTTP. The relationship between the image filenames and the URL can be exported by the appliance in CSV format.
  • Gold Images from aOCR Hackthon:
    • CSV file with URLs for the Images on iDigBio beta server (Uploaded by Image Ingestion Appliance): ent, herb,lichens.
  • Code from the aOCR Hackthon:
    • HandwritingDetection (https://github.com/idigbio-aocr): an algorithm that separates images into sets with no handwriting, little handwriting (mostly text typed or printed), lots of handwriting, based on the noise generated by the OCR software. Read more at Ben's blog. This could be used to rank which images are in more need for human transcription.
    • Dictionaries to improve crowdsourcing consensus (e.g., names of collectors, scientific names): link to be provided by aOCR?

Hackathon Products

  • Some groups used the Coordination pages above to summarize products
  • Group 1 Target File Format