Please use this identifier to cite or link to this item:
Title: Landscape Analysis for the Specimen Data Refinery
Authors: Walton, Stephanie
Livermore, Laurence
Bánki, Olaf
Cubey, Robert
Drinkwater, Robyn
Englund, Markus
Goble, Carole
Groom, Quentin
Kermorvant, Christopher
Rey, Isabel
M Santos, Celia
Scott, Ben
R. Williams, Alan
Wu, Zhengzhe
Publication Date: 2020
Publisher: ICEDIG
Citation: Walton S, Livermore L, Bánki O, Cubey RWN, Drinkwater R, Englund M, Goble C, Groom Q, Kermorvant C, Rey I, Santos CM, Scott B, Williams AR, Wu Z (2020) Landscape Analysis for the Specimen Data Refinery. Research Ideas and Outcomes 6: e57602.
Abstract: This report reviews the current state-of-the-art applied approaches on automated tools, services and workflows for extracting information from images of natural history specimens and their labels. We consider the potential for repurposing existing tools, including workflow management systems; and areas where more development is required. This paper was written as part of the SYNTHESYS+ project for software development teams and informatics teams working on new software-based approaches to improve mass digitisation of natural history specimens.
Appears in the Folders:SDR
SYNTHESYS Project Outputs

Files in This Item:
File Description SizeFormat 
RIO_article_57602 (1).pdf1.91 MBAdobe PDFView/Open

This item is licensed under a Creative Commons License