Evidence map›Paper›PMID 31448096›Full record

ArticleF1000Research2019

Open laboratory notebooks: good for science, good for society, good for scientists.

Matthieu Schapira, Open Lab Notebook Consortium, Rachel J Harding

Abstract read
In one paragraph

Article in F1000Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Open Science Practices in Psychiatric Genetics: A Primer.Biological psychiatry global open science · 2024
    Review
  3. Article
  4. Not all pre-registrations are equal.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Article
  5. Article
  6. Transparent, Open, and Reproducible Prevention Science.Prevention science : the official journal of the Society for Prevention Research · 2022
    Article
  7. Open Science in regulatory environmental risk assessment.Integrated environmental assessment and management · 2021
    Article
  8. Ten simple rules for open human health research.PLoS computational biology · 2020
    Article
  9. Article
  10. 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

3 authors.

Matthieu SchapiraStructural Genomics Consortium, University of Toronto, Toronto, ON, M5G 1L7, Canada.ORCID 0000-0002-1047-3309
Open Lab Notebook Consortium
Rachel J HardingStructural Genomics Consortium, University of Toronto, Toronto, ON, M5G 1L7, Canada.ORCID 0000-0002-1134-391X

Funding

Wellcome TrustWellcome Trust 106169/ZZ14/ZWellcome Trust 204801/Z/16/Z
6 · The paper itself

Abstract

The fundamental goal of the growing open science movement is to increase the efficiency of the global scientific community and accelerate progress and discoveries for the common good. Central to this principle is the rapid disclosure of research outputs in open-access peer-reviewed journals and on pre-print servers. The next bold step in this direction is open laboratory notebooks, where research scientists share their research - including detailed protocols, negative and positive results - online and in near-real-time to synergize with their peers. Here, we highlight the benefits of open lab notebooks to science, society and scientists, and discuss the challenges that this nascent movement is facing. We also present the implementation and progress of our own initiative at openlabnotebooks.org, with more than 20 active contributors after one year of operation.

Indexed as

LaboratoriesPeer Reviewopen lab notebooksopen sciencepeer-reviewpreprintspublishingscience communication

Identifiers

PMID31448096
PMCPMC6694453

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.