Evidence map›Paper›PMID 21878109›Full record

ArticleBMC research notes2011

The RICORDO approach to semantic interoperability for biomedical data and models: strategy, standards and solutions.

Bernard de Bono, Robert Hoehndorf, Sarala Wimalaratne, George Gkoutos, Pierre Grenon

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

21 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
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  7. Review
  8. Article
  9. Combining computational models, semantic annotations and simulation experiments in a graph database.Database : the journal of biological databases and curation · 2015
    Article
  10. BioModels linked dataset.BMC systems biology · 2014
    Article
  11. Article
  12. Article
  13. HuPSON: the human physiology simulation ontology.Journal of biomedical semantics · 2013
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. The Units Ontology: a tool for integrating units of measurement in science.Database : the journal of biological databases and curation · 2012
    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

5 authors at 4 institutions in 2 countries.

Bernard de BonoEuropean Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge CB10 1SD, UK. bdb@ebi.ac.uk.
Robert Hoehndorf
Sarala Wimalaratne
George Gkoutos
Pierre Grenon
University of Cambridge · GBEuropean Bioinformatics Institute · GBUniversity of Auckland · NZWellcome Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe practice and research of medicine generates considerable quantities of data and model resources (DMRs). Although in principle biomedical resources are re-usable, in practice few can currently be shared. In particular, the clinical communities in physiology and pharmacology research, as well as medical education, (i.e. PPME communities) are facing considerable operational and technical obstacles in sharing data and models.

findingsWe outline the efforts of the PPME communities to achieve automated semantic interoperability for clinical resource documentation in collaboration with the RICORDO project. Current community practices in resource documentation and knowledge management are overviewed. Furthermore, requirements and improvements sought by the PPME communities to current documentation practices are discussed. The RICORDO plan and effort in creating a representational framework and associated open software toolkit for the automated management of PPME metadata resources is also described.

conclusionsRICORDO is providing the PPME community with tools to effect, share and reason over clinical resource annotations. This work is contributing to the semantic interoperability of DMRs through ontology-based annotation by (i) supporting more effective navigation and re-use of clinical DMRs, as well as (ii) sustaining interoperability operations based on the criterion of biological similarity. Operations facilitated by RICORDO will range from automated dataset matching to model merging and managing complex simulation workflows. In effect, RICORDO is contributing to community standards for resource sharing and interoperability.

Identifiers

PMID21878109
PMCPMC3192696
OpenAlexW2128591653

What OpenQuestion holds

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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.