Landscape Analysis for the Specimen Data Refinery


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.


DOI: 10.3897/rio.6.e57602

Teams: Specimen Data Refinery

Publication type: Journal

Journal: Research Ideas and Outcomes

Publisher: Pensoft

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.

Date Published: 14th Aug 2020


Registered Mode: manually

Authors: Stephanie Walton, Laurence Livermore, Olaf Bánki, Robert W. N. Cubey, Robyn Drinkwater, Markus Englund, Carole Goble, Quentin Groom, Christopher Kermorvant, Isabel Rey, Celia M Santos, Ben Scott, Alan Williams, Zhengzhe Wu

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Walton, S., Livermore, L., Bánki, O., Cubey, R., Drinkwater, R., Englund, M., Goble, C., Groom, Q., Kermorvant, C., Rey, I., Santos, C., Scott, B., Williams, A., & Wu, Z. (2020). Landscape Analysis for the Specimen Data Refinery. In Research Ideas and Outcomes (Vol. 6). Pensoft Publishers.

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Created: 8th Dec 2021 at 16:58

Last updated: 16th Jan 2023 at 13:34

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