Evidence map›Paper›PMID 37325726›Full record

ArticleEcology and evolution2023

Digitization of natural history collections: A guideline and nationwide capacity building workshop in Malaysia.

Song-Quan Ong, Nurzatil Sharleeza Mat Jalaluddin, Kien Thai Yong, Su Ping Ong, Kooi Fong Lim, Suhaila Azhar

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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  4. Current research in parasitology & vector-borne diseases · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Song-Quan OngInstitute for Tropical Biology and Conservation (ITBC) Universiti Malaysia Sabah Kota Kinabalu Malaysia.ORCID https://orcid.org/0000-0003-2869-4000
Nurzatil Sharleeza Mat JalaluddinCentre for Research in Biotechnology for Agriculture (CEBAR) Universiti Malaya Kuala Lumpur Malaysia.
Kien Thai YongInstitute of Biological Sciences, Faculty of Science Universiti Malaya Kuala Lumpur Malaysia.
Su Ping OngEntomology Branch, Forest Biodiversity Division Forest Research Institute Malaysia (FRIM) Selangor Malaysia.
Kooi Fong LimBiovis Informatics SDN BHD Selangor Malaysia.
Suhaila AzharCentre for Research in Biotechnology for Agriculture (CEBAR) Universiti Malaya Kuala Lumpur Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

digital biodiversityFAIR principleprecision biodiversityspecimen

Identifiers

PMID37325726
PMCPMC10266939

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.