Evidence map›Paper›PMID 21370078›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2011

Data standards for Omics data: the basis of data sharing and reuse.

Stephen A Chervitz, Eric W Deutsch, Dawn Field, Helen Parkinson, John Quackenbush, Phillipe Rocca-Serra, Susanna-Assunta Sansone, Christian J Stoeckert, Chris F Taylor, Ronald Taylor and 1 more

Abstract readReview
In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Application ofFrontiers in toxicology · 2026
    Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Ten quick tips for building FAIR workflows.PLoS computational biology · 2023
    Article
  18. Article
  19. Review
  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

11 authors.

Stephen A ChervitzAffymetrix, Inc., Santa Clara, CA, USA.
Eric W Deutsch
Dawn Field
Helen Parkinson
John Quackenbush
Phillipe Rocca-Serra
Susanna-Assunta Sansone
Christian J Stoeckert
Chris F Taylor
Ronald Taylor
Catherine A Ball

Funding

TM4: Software for High-Dimensional Data AnalysisR01LM008795 · NLM · DANA-FARBER CANCER INST · PI QUACKENBUSH, JOHN · 2006 to 2009
$2.4M
Biotechnology and Biological Sciences Research Council BB/E025080/1Biotechnology and Biological Sciences Research Council BB/I000771/1NLM NIH HHS R01 LM008795
6 · The paper itself

Abstract

To facilitate sharing of Omics data, many groups of scientists have been working to establish the relevant data standards. The main components of data sharing standards are experiment description standards, data exchange standards, terminology standards, and experiment execution standards. Here we provide a survey of existing and emerging standards that are intended to assist the free and open exchange of large-format data.

Indexed as

Computational BiologyDelivery of Health CareHumansInformation DisseminationReference StandardsResearch Design

Identifiers

PMID21370078
PMCPMC4152841

What OpenQuestion holds

Textmetadata
LicenceTDM
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.