Evidence map›Paper›PMID 24032093›Full record

ArticlePeerJ2013

On the reproducibility of science: unique identification of research resources in the biomedical literature.

Nicole A Vasilevsky, Matthew H Brush, Holly Paddock, Laura Ponting, Shreejoy J Tripathy, Gregory M Larocca, Melissa A Haendel

Abstract read
In one paragraph

Article in PeerJ, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
117citing 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

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

  1. Quantity and Reporting Quality of Kidney Research.Journal of the American Society of Nephrology : JASN · 2019
    Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Review
  7. Checklist for Reproducibility of Deep Learning in Medical Imaging.Journal of imaging informatics in medicine · 2024
    Article
  8. Article
  9. Establishing an early indicator for data sharing and reuse.Learned publishing : journal of the Association of Learned and Professional Society Publishers · 2024
    Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Insufficient reporting of experimental variables as a cause for nonreproducibility in animal physiology? A case study.American journal of physiology. Regulatory, integrative and comparative physiology · 2022
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

57 more citing papers are in PubMed but not listed here.

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

7 authors.

Nicole A VasilevskyOntology Development Group, Library, Oregon Health & Science University , Portland, OR , USA.
Matthew H Brush
Holly Paddock
Laura Ponting
Shreejoy J Tripathy
Gregory M Larocca
Melissa A Haendel

Funding

FLYBASE: A DROSOPHILA RELATIONAL DATABASEP41HG000739 · NHGRI · HARVARD UNIVERSITY · PI GELBART, WILLIAM MARTIN · 1992 to 2014
$56.6M
ZFIN:THE ZEBRAFISH MODEL ORGANISM DATABASEP41HG002659 · NHGRI · UNIVERSITY OF OREGON · PI WESTERFIELD, MONTE · 2003 to 2010
$21.2M
The Monarch Initiative: Linking Diseases to Model Organism ResourcesR24OD011883 · OD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAENDEL, MELISSA A, MUNGALL, CHRISTOPHER J · 2012 to 2024
$16.0M
Intraglomerular Lateral Inhibition in the Olfactory BulbR01DC005798 · NIDCD · CARNEGIE-MELLON UNIVERSITY · PI URBAN, NATHAN NEAL · 2002 to 2012
$2.9M
PHYSIOLOGICAL AND COMPUTATIONAL APPROACHES TO UNDERSTANDING NEURONAL SYNCHRONIZATR01DC011184 · NIDCD · CARNEGIE-MELLON UNIVERSITY · PI URBAN, NATHAN NEAL · 2010 to 2014
$1.5M
NHGRI NIH HHS P41 HG000739NHGRI NIH HHS P41 HG002659NIDCD NIH HHS R01 DC005798NIDCD NIH HHS R01 DC011184NIH HHS R24 OD011883
6 · The paper itself

Abstract

Scientific reproducibility has been at the forefront of many news stories and there exist numerous initiatives to help address this problem. We posit that a contributor is simply a lack of specificity that is required to enable adequate research reproducibility. In particular, the inability to uniquely identify research resources, such as antibodies and model organisms, makes it difficult or impossible to reproduce experiments even where the science is otherwise sound. In order to better understand the magnitude of this problem, we designed an experiment to ascertain the "identifiability" of research resources in the biomedical literature. We evaluated recent journal articles in the fields of Neuroscience, Developmental Biology, Immunology, Cell and Molecular Biology and General Biology, selected randomly based on a diversity of impact factors for the journals, publishers, and experimental method reporting guidelines. We attempted to uniquely identify model organisms (mouse, rat, zebrafish, worm, fly and yeast), antibodies, knockdown reagents (morpholinos or RNAi), constructs, and cell lines. Specific criteria were developed to determine if a resource was uniquely identifiable, and included examining relevant repositories (such as model organism databases, and the Antibody Registry), as well as vendor sites. The results of this experiment show that 54% of resources are not uniquely identifiable in publications, regardless of domain, journal impact factor, or reporting requirements. For example, in many cases the organism strain in which the experiment was performed or antibody that was used could not be identified. Our results show that identifiability is a serious problem for reproducibility. Based on these results, we provide recommendations to authors, reviewers, journal editors, vendors, and publishers. Scientific efficiency and reproducibility depend upon a research-wide improvement of this substantial problem in science today.

Indexed as

AntibodiesCell linesConstructsKnockdown reagentsMaterials and MethodsModel organismsScientific reproducibility

Identifiers

PMID24032093
PMCPMC3771067

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.