Evidence map›Paper›PMID 29732257›Full record

ArticleApplications in plant sciences2018

The Australasian Virtual Herbarium: Tracking data usage and benefits for biological collections.

David J Cantrill

Abstract read
In one paragraph

Article in Applications in plant sciences, 2018. 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.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Enhancement of conservation knowledge through increased access to botanical information.Conservation biology : the journal of the Society for Conservation Biology · 2019
    Article
  6. Improved standardization of transcribed digital specimen data.Database : the journal of biological databases and curation · 2019
    Article
  7. The history and impact of digitization and digital data mobilization on biodiversity research.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    Review
  8. Article
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

1 author.

David J CantrillRoyal Botanic Gardens Victoria Private Bag 2000, Birdwood Avenue South Yarra Victoria 3141 Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

premise of the studyGlobally, natural history collections are focused on digitizing specimens and information and making these data accessible. Usage information on National Herbarium of Victoria data made available through the Atlas of Living Australia and The Australasian Virtual Herbarium (AVH) is analyzed to understand how and by whom herbarium data are being used.

methodsSince 2010, AVH data usage information has been gathered from users and supplied to data custodians as a spreadsheet that includes number of download events, number of records downloaded, and user reasons for downloading data in predefined categories.

resultsSince 2010, in excess of 268,000 download events of 194 million records (excluding testing events) have been recorded for the National Herbarium of Victoria data set. This means, on average, every record has been downloaded 220 times in the past nine years. Data use grew continuously from 2010 to 2015 but decreased in 2016 due to fewer ecological projects. DISCUSSION: Data have primarily been used for ecological research, but there is an emerging trend for use in education including citizen science projects. Information about data use demonstrates relevance to funding agencies and helps inform the development of collections and prioritization of resources when digitizing material.

Indexed as

bioinformaticsdata usageherbarium records

Identifiers

PMID29732257
PMCPMC5851564

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.