Evidence map›Paper›PMID 30040866›Full record

ArticlePloS one2018

Fostering population-based cohort data discovery: The Maelstrom Research cataloguing toolkit.

Julie Bergeron, Dany Doiron, Yannick Marcon, Vincent Ferretti, Isabel Fortier

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Canadian Metadata Catalogue for Health Science Research.International journal of population data science · 2026
    Article
  5. Observational
  6. Article
  7. Article
  8. Quantifying the impact of biobanks and cohort studies.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Assistive technology access in longitudinal datasets: a global review.International journal of population data science · 2023
    Review
  15. Review
  16. Review
  17. Article
  18. Review
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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

5 authors.

Julie BergeronResearch Institute of the McGill University Health Centre, Montreal, Quebec, Canada.
Dany DoironResearch Institute of the McGill University Health Centre, Montreal, Quebec, Canada.
Yannick MarconResearch Institute of the McGill University Health Centre, Montreal, Quebec, Canada.ORCID 0000-0003-0138-2023
Vincent FerrettiResearch Center of the Sainte-Justine University Hospital, Montreal, Quebec, Canada.
Isabel FortierResearch Institute of the McGill University Health Centre, Montreal, Quebec, Canada.ORCID 0000-0001-8207-3059

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe lack of accessible and structured documentation creates major barriers for investigators interested in understanding, properly interpreting and analyzing cohort data and biological samples. Providing the scientific community with open information is essential to optimize usage of these resources. A cataloguing toolkit is proposed by Maelstrom Research to answer these needs and support the creation of comprehensive and user-friendly study- and network-specific web-based metadata catalogues.

methodsDevelopment of the Maelstrom Research cataloguing toolkit was initiated in 2004. It was supported by the exploration of existing catalogues and standards, and guided by input from partner initiatives having used or pilot tested incremental versions of the toolkit.

resultsThe cataloguing toolkit is built upon two main components: a metadata model and a suite of open-source software applications. The model sets out specific fields to describe study profiles; characteristics of the subpopulations of participants; timing and design of data collection events; and datasets/variables collected at each data collection event. It also includes the possibility to annotate variables with different classification schemes. When combined, the model and software support implementation of study and variable catalogues and provide a powerful search engine to facilitate data discovery.

conclusionsThe Maelstrom Research cataloguing toolkit already serves several national and international initiatives and the suite of software is available to new initiatives through the Maelstrom Research website. With the support of new and existing partners, we hope to ensure regular improvements of the toolkit.

Indexed as

Cohort StudiesData AnalysisDatabases, FactualEpidemiologic StudiesHumansModels, StatisticalSoftwareUser-Computer Interface

Identifiers

PMID30040866
PMCPMC6057635

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.