tdwg 2014: digiweb - quality driven workflow environment for digitisation of natural history...

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Features Four main views: Monitoring of digitisation, browsing, transcribing and administration User access control manages visibility of views and permitted operations ISO 2859 standard based acceptance procedure for specimen data Support for multiple internal and external data sources Utilizes Java EE, JSF2, PrimeFaces, RDBMS, Darwin Core and file system DigiWeb Quality driven workflow environment for digitisation of natural history specimens Tero Mononen, Riitta Tegelberg, Mira Sääskilahti, Markku A. Huttunen, Marko Tähtinen, Hannu Saarenmaa http://digitarium.fi/ Test project In total 168,500 herbarium specimens were imaged Transcribing started in 2013 Training period was provided for personnel before access to production data Workflow defined a responsible party for every state of specimen The route in workflow depended on the difficulty of specimen and experience of transcriber In acceptance procedure 80 of 1,000 (batch) specimens were verified manually and ≥ 4 flawed specimens caused rejection of whole batch Results Performance and accuracy improved significantly after two months work Location was the main cause for rejection in quality check

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FeaturesFour main views: Monitoring of digitisation, browsing, transcribing and administration

User access control manages visibility of views and permitted operations

ISO 2859 standard based acceptance procedure for specimen data

Support for multiple internal and external data sources

Utilizes Java EE, JSF2, PrimeFaces, RDBMS, Darwin Core and file system

DigiWebQuality driven workflow environment fordigitisation of natural history specimens

Tero Mononen, Riitta Tegelberg, Mira Sääskilahti, Markku A. Huttunen, Marko Tähtinen, Hannu Saarenmaa

http://digitarium.fi/

Test projectIn total 168,500 herbarium specimens were imaged

Transcribing started in 2013

Training period was provided for personnel before access to production data

Workflow defined a responsible party for every state of specimen

The route in workflow depended on the difficulty of specimen and experience of transcriber

In acceptance procedure 80 of 1,000 (batch) specimens were verified manually and ≥ 4 flawed specimens caused rejection of whole batch

ResultsPerformance and accuracy improved significantly after two months work

Location was the main cause for rejection in quality check