ArticleEcology and evolution2023
Digitization of natural history collections: A guideline and nationwide capacity building workshop in Malaysia.
Article in Ecology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Protocol for low-cost photographic digitization and automated HTML publication of envelope-preserved entomological museum collections.STAR protocols · 2026Article
- Trap colour strongly affects the ability of deep learning models to recognize insect species in images of sticky traps.Pest management science · 2025Article
- Article
- Article
- Valorization of Historical Natural History Collections Through Digitization: The Algarium Vatova-Schiffner.Plants (Basel, Switzerland) · 2024Article
- An annotated image dataset of pests on different coloured sticky traps acquired with different imaging devices.Data in brief · 2024Article
- iNaturalist is an open science resource for ecological genomics by enabling rapid and tractable records of initial observations of sequenced biological samples.Biology letters · 2023Article
- Digitization of natural history collections: A guideline and nationwide capacity building workshop in Malaysia.Ecology and evolution · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Natural history museum collections are the most important sources of information on the present and past biodiversity of our planet. Most of the information is primarily stored in analogue form, and digitization of the collections can provide further open access to the images and specimen data to address the many global challenges. However, many museums do not digitize their collections because of constraints on budgets, human resources, and technologies. To encourage the digitization process, we present a guideline that offers low-cost and technical knowledge solutions yet balances the quality of the work and outcomes. The guideline describes three phases of digitization, namely preproduction, production, and postproduction. The preproduction phase includes human resource planning and selecting the highest priority collections for digitization. In the preproduction phase, a worksheet is provided for the digitizer to document the metadata, as well as a list of equipment needed to set up a digitizer station to image the specimens and associated labels. In the production phase, we place special emphasis on the light and color calibrations, as well as the guidelines for ISO/shutter speed/aperture to ensure a satisfactory quality of the digitized output. Once the specimen and labels have been imaged in the production phase, we demonstrate an end-to-end pipeline that uses optical character recognition (OCR) to transfer the physical text on the labels into a digital form and document it in a worksheet cell. A nationwide capacity workshop is then conducted to impart the guideline, and pre- and postcourse surveys were conducted to assess the confidence and skills acquired by the participants. This paper also discusses the challenges and future work that need to be taken forward for proper digital biodiversity data management.
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Registered trials
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