Evidence map›Paper›PMID 22859875›Full record

ArticleZooKeys2012

Mass digitization of scientific collections: New opportunities to transform the use of biological specimens and underwrite biodiversity science.

Reed S Beaman, Nico Cellinese

Abstract read
In one paragraph

Article in ZooKeys, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
–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

47 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Review
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  7. Article
  8. Globally aggregated biodiversity data impact predictive and descriptive research.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  13. Integrating habitat-masked range maps with quantifications of prevalence to estimate area of occupancy in IUCN assessments.Conservation biology : the journal of the Society for Conservation Biology · 2023
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  20. PeerJ · 2021
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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

2 authors.

Reed S BeamanFlorida Museum of Natural History, University of Florida, Dickinson Hall, Museum Rd, Gainesville, Florida 32611-7800, U.S.A.
Nico Cellinese

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New information technologies have enabled the scientific collections community and its stakeholders to adapt, adopt, and leverage novel approaches for a nearly 300 years old scientific discipline. Now, few can credibly question the transformational impact of technology on efforts to digitize scientific collections, as IT now reaches into almost every nook and cranny of society. Five to ten years ago this was not the case. Digitization is an activity that museums and academic institutions increasingly recognize, though many still do not embrace, as a means to boost the impact of collections to research and society through improved access. The acquisition and use of scientific collections is a global endeavor, and digitization enhances their value by improved access to core biodiversity information, increases use, relevance and potential downstream value, for example, in the management of natural resources, policy development, food security, and planetary and human health. This paper examines new opportunities to design and implement infrastructure that will support not just mass digitization efforts, but also a broad range of research on biological diversity and physical sciences in order to make scientific collections increasingly relevant to societal needs and interest.

Indexed as

biodiversitybiodiversity informaticsdata sharingdigitizationinteroperabilitylinked dataScientific collectionsspecimen access

Identifiers

PMID22859875
PMCPMC3406463

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.