Evidence map›Paper›PMID 26023286›Full record

ArticleBiodiversity data journal2015

Integrating and visualizing primary data from prospective and legacy taxonomic literature.

Jeremy A Miller, Donat Agosti, Lyubomir Penev, Guido Sautter, Teodor Georgiev, Terry Catapano, David Patterson, David King, Serrano Pereira, Rutger Aldo Vos and 1 more

Abstract read
In one paragraph

Article in Biodiversity data journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. The generaBiodiversity data journal · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. DNA barcoding and taxonomy: dark taxa and dark texts.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016
    Review
  12. 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

11 authors.

Jeremy A MillerNaturalis Biodiversity Center, Leiden, Netherlands ; www.Plazi.org, Bern, Switzerland.
Donat Agostiwww.Plazi.org, Bern, Switzerland.
Lyubomir PenevPensoft, Sofia, Bulgaria.
Guido SautterKIT / Plazi, Karlsruhe, Germany.
Teodor GeorgievPensoft Publishers, Sofia, Bulgaria.
Terry Catapanowww.Plazi.org, Bern, Switzerland.
David PattersonUniversity of Sydney, Sydney, Australia.
David KingThe Open University, Milton Keynes, United Kingdom.
Serrano PereiraNaturalis Biodiversity Center, Leiden, Netherlands.
Rutger Aldo VosNaturalis Biodiversity Center, Leiden, Netherlands.
Soraya SierraNaturalis Biodiversity Center, Leiden, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Specimen data in taxonomic literature are among the highest quality primary biodiversity data. Innovative cybertaxonomic journals are using workflows that maintain data structure and disseminate electronic content to aggregators and other users; such structure is lost in traditional taxonomic publishing. Legacy taxonomic literature is a vast repository of knowledge about biodiversity. Currently, access to that resource is cumbersome, especially for non-specialist data consumers. Markup is a mechanism that makes this content more accessible, and is especially suited to machine analysis. Fine-grained XML (Extensible Markup Language) markup was applied to all (37) open-access articles published in the journal Zootaxa containing treatments on spiders (Order: Araneae). The markup approach was optimized to extract primary specimen data from legacy publications. These data were combined with data from articles containing treatments on spiders published in Biodiversity Data Journal where XML structure is part of the routine publication process. A series of charts was developed to visualize the content of specimen data in XML-tagged taxonomic treatments, either singly or in aggregate. The data can be filtered by several fields (including journal, taxon, institutional collection, collecting country, collector, author, article and treatment) to query particular aspects of the data. We demonstrate here that XML markup using GoldenGATE can address the challenge presented by unstructured legacy data, can extract structured primary biodiversity data which can be aggregated with and jointly queried with data from other Darwin Core-compatible sources, and show how visualization of these data can communicate key information contained in biodiversity literature. We complement recent studies on aspects of biodiversity knowledge using XML structured data to explore 1) the time lag between species discovry and description, and 2) the prevelence of rarity in species descriptions.

Indexed as

AraneaeBiodiversity informaticsData miningOpen accessSpidersTaxonomyXML markup

Identifiers

PMID26023286
PMCPMC4442254

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.