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一种利用有限资源将自然历史藏品数字化的策略。

A strategy to digitise natural history collections with limited resources.

作者信息

Santos Joaquim, Rupino da Cunha Paulo, Sales Fátima

机构信息

University of Coimbra, Centre for Functional Ecology - Science for People & the Planet, Department of Life Sciences, Coimbra, Portugal University of Coimbra, Centre for Functional Ecology - Science for People & the Planet, Department of Life Sciences Coimbra Portugal.

University of Coimbra, Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering, Coimbra, Portugal University of Coimbra, Centre for Informatics and Systems of the University of Coimbra, Department of Informatics Engineering Coimbra Portugal.

出版信息

Biodivers Data J. 2020 Oct 23;8:e55959. doi: 10.3897/BDJ.8.e55959. eCollection 2020.

Abstract

The present work is a contribution towards accelerating the digitisation process of natural history collections, usually a slow process. A two-stage process was developed at the herbarium of the University of Coimbra: (i) a new workflow was established to automatically create records in the herbarium master database with minimum information, while capturing digital images; (ii) these records are then used to populate a web-based crowdsourcing platform where citizens are involved in the transcription of specimen labels from the digital images. This approach simplifies and accelerates databasing, reduces specimen manipulation and promotes the involvement of citizens in the scientific goals of the herbarium. The novel features of this process are: (i) the validation method of the crowdsourcing contribution that ensures quality control, enabling the data to integrate the master database directly and (ii) the field-by-field integration in the master database enables immediate corrections to any record in the catalogue.

摘要

本研究致力于加速自然历史藏品数字化进程,该进程通常较为缓慢。科英布拉大学植物标本馆开发了一个两阶段流程:(i)建立了一个新的工作流程,以便在采集数字图像时,以最少的信息在标本馆主数据库中自动创建记录;(ii)然后利用这些记录填充一个基于网络的众包平台,让公民参与从数字图像中转录标本标签。这种方法简化并加速了数据库建设,减少了标本处理,并促进公民参与标本馆的科学目标。这一流程的新颖之处在于:(i)众包贡献的验证方法确保了质量控制,使数据能够直接整合到主数据库中;(ii)主数据库中的逐字段整合能够立即对目录中的任何记录进行修正。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28fd/7599201/2853cbe82dfa/bdj-08-e55959-g001.jpg

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