Evidence map›Paper›PMID 26112029›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2015

The center for expanded data annotation and retrieval.

Mark A Musen, Carol A Bean, Kei-Hoi Cheung, Michel Dumontier, Kim A Durante, Olivier Gevaert, Alejandra Gonzalez-Beltran, Purvesh Khatri, Steven H Kleinstein, Martin J O'Connor and 5 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. The HuBMAP Framework for Advancing Data FAIRness.bioRxiv : the preprint server for biology · 2026
    Article
  5. The FAIRSCAPE AI-readiness Framework for Biomedical Research.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. The text2term tool to map free-text descriptions of biomedical terms to ontologies.Database : the journal of biological databases and curation · 2024
    Article
  17. Article
  18. Review
  19. Article
  20. 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

15 authors.

Mark A MusenStanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA USA musen@stanford.edu.
Carol A BeanStanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA USA.
Kei-Hoi CheungInterdepartmental Program in Computational Biology and Bioinformatics, Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT USA.
Michel DumontierStanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA USA.
Kim A DuranteStanford University Libraries, Stanford University, Stanford, CA USA.
Olivier GevaertStanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA USA.
Alejandra Gonzalez-BeltranOxford e-Research Centre, University of Oxford, Oxford, UK.
Purvesh KhatriStanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA USA Stanford Institute for Immunity, Transplantation, and Infection, Stanford, CA USA.
Steven H KleinsteinInterdepartmental Program in Computational Biology and Bioinformatics, Departments of Pathology and Immunobiology, Yale University School of Medicine, New Haven, CT USA.
Martin J O'ConnorStanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA USA.
Yannick PouliotStanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA USA.
Philippe Rocca-SerraOxford e-Research Centre, University of Oxford, Oxford, UK.
Susanna-Assunta SansoneOxford e-Research Centre, University of Oxford, Oxford, UK.
Jeffrey A WiserNorthrop Grumman Corporation, West Falls Church, VA USA.
CEDAR team

Funding

TrainingU54AI117925 · NIAID · STANFORD UNIVERSITY · PI MUSEN, MARK A · 2014 to 2018
$12.9M
Biotechnology and Biological Sciences Research Council BB/E025080/1Biotechnology and Biological Sciences Research Council BB/I000771/1NIAID NIH HHS U54 AI117925
6 · The paper itself

Abstract

The Center for Expanded Data Annotation and Retrieval is studying the creation of comprehensive and expressive metadata for biomedical datasets to facilitate data discovery, data interpretation, and data reuse. We take advantage of emerging community-based standard templates for describing different kinds of biomedical datasets, and we investigate the use of computational techniques to help investigators to assemble templates and to fill in their values. We are creating a repository of metadata from which we plan to identify metadata patterns that will drive predictive data entry when filling in metadata templates. The metadata repository not only will capture annotations specified when experimental datasets are initially created, but also will incorporate links to the published literature, including secondary analyses and possible refinements or retractions of experimental interpretations. By working initially with the Human Immunology Project Consortium and the developers of the ImmPort data repository, we are developing and evaluating an end-to-end solution to the problems of metadata authoring and management that will generalize to other data-management environments.

Indexed as

Biomedical ResearchData MiningDatasets as TopicBiological OntologiesHumansInformation Storage and RetrievalUnited Statesbiological ontologiesdata collectiondata curationdatasets as topicstandards

Identifiers

PMID26112029
PMCPMC5009916

What OpenQuestion holds

Textmetadata
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.