Evidence map›Paper›PMID 36109162›Full record

ArticleeNeuro

Plea for a Simple But Radical Change in Scientific Publication: To Improve Openness, Reliability, and Reproducibility, Let's Deposit and Validate Our Results before Writing Articles.

Jean-Antoine Girault

Abstract read
In one paragraph

Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Jean-Antoine GiraultInstitut National de la Santé et de la Recherche Médicale UMR-S 1270, 75005 Paris, France jean-antoine.girault@inserm.fr.ORCID https://orcid.org/0000-0002-7900-1705

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Limited reproducibility and validity are major sources of concern in biology and other fields of science. Their origins have been extensively described and include material variability, incomplete materials and methods report, results selection, defective experimental design, lack of power, inappropriate statistics, overinterpretation, and reluctance to publish negative results. Promoting complete and accurate communication of positive and negative results is a major objective. Multiple steps in this direction are taken, but they are not sufficient and the general construction of articles has not been questioned. I propose here a simple change with a potentially strong positive impact. First, when they complete a substantial coherent set of experiments, scientists deposit their positive or negative results in a database ["deposited results," (DRs)], including detailed materials, methods, raw data, analysis, and processed results. The DRs are technically reviewed and validated as "validated DRs" (vDRs) or rejected until satisfactory. vDR databases are open (after an embargo period if requested by the authors) and can later be updated by them or others with replications or replication failures, providing a comprehensive active log of scientific data. Articles, in this proposal, are then built as they currently are, except they only include vDRs as strong and open building blocks. I argue that this approach would increase the transparency, reproducibility, and reliability of scientific publications and have additional advantages including accurate author credit, better material for evaluation, exhaustive scientific archiving, and increased openness of life science material.

Indexed as

PublicationsWritingPublishingReproducibility of Results

Identifiers

PMID36109162
PMCPMC9480872

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.