Evidence map›Paper›PMID 25535486›Full record

ArticleBiodiversity data journal2014

A semi-automated workflow for biodiversity data retrieval, cleaning, and quality control.

Cherian Mathew, Anton Güntsch, Matthias Obst, Saverio Vicario, Robert Haines, Alan R Williams, Yde de Jong, Carole Goble

Abstract read
In one paragraph

Article in Biodiversity data journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Improved standardization of transcribed digital specimen data.Database : the journal of biological databases and curation · 2019
    Article
  5. Toward a service-based workflow for automated information extraction from herbarium specimens.Database : the journal of biological databases and curation · 2018
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. PESI - a taxonomic backbone for Europe.Biodiversity data journal · 2015
    Article
  11. Review
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

8 authors.

Cherian MathewFreie Universität Berlin, Botanic Garden and Botanical Museum Berlin-Dahlem, Berlin, Germany.
Anton GüntschFreie Universität Berlin, Botanic Garden and Botanical Museum Berlin-Dahlem, Berlin, Germany.
Matthias ObstDepartment of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden.
Saverio VicarioInstitute of Biomedical Technologies, National Research Council, Bari, Italy.
Robert HainesSchool of Computer Science, University of Manchester, Manchester, United Kingdom.
Alan R WilliamsSchool of Computer Science, University of Manchester, Manchester, United Kingdom.
Yde de JongUniversity of Eastern Finland, Joensuu, Finland ; University of Amsterdam - Facilty of Science, Amsterdam, Netherlands.
Carole GobleSchool of Computer Science, University of Manchester, Manchester, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The compilation and cleaning of data needed for analyses and prediction of species distributions is a time consuming process requiring a solid understanding of data formats and service APIs provided by biodiversity informatics infrastructures. We designed and implemented a Taverna-based Data Refinement Workflow which integrates taxonomic data retrieval, data cleaning, and data selection into a consistent, standards-based, and effective system hiding the complexity of underlying service infrastructures. The workflow can be freely used both locally and through a web-portal which does not require additional software installations by users.

Indexed as

biodiversity informaticsdata cleaninge-Scienceservice oriented architectureweb servicesworkflows

Identifiers

PMID25535486
PMCPMC4267104

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.