Evidence map›Paper›PMID 38303760›Full record

ArticleF1000Research2023

Autonomous, bidding, credible, decentralized, ethical, and funded (ABCDEF) publishing.

Taiki Oka, Kaito Takashima, Kohei Ueda, Yuki Mori, Kyoshiro Sasaki, Hiro Taiyo Hamada, Masahito Yamagata, Yuki Yamada

Abstract read
In one paragraph

Article in F1000Research, 2023. 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. Review
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

8 authors.

Taiki OkaClinical Psychology, Graduate School of Human Sciences, Osaka University, Suita, Japan.
Kaito TakashimaGraduate School of Human-Environment Studies, Kyushu University, Fukuoka, Japan.
Kohei UedaGraduate School of Human-Environment Studies, Kyushu University, Fukuoka, Japan.ORCID 0000-0003-1818-8366
Yuki MoriGraduate School of Human-Environment Studies, Kyushu University, Fukuoka, Japan.
Kyoshiro SasakiFaculty of Informatics, Kansai University, Takatsuki, Japan.ORCID 0000-0002-5496-3748
Hiro Taiyo HamadaResearch & Development Department, Araya Inc., Tokyo, Japan.ORCID 0000-0002-7919-9125
Masahito YamagataCenter for Brain Science and Department of Molecular and Cellular Biology, Harvard University, Cambridge, USA.
Yuki YamadaFaculty of Arts and Science, Kyushu University, Fukuoka, Japan.ORCID 0000-0003-1431-568X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scientists write research articles, process ethics reviews, evaluate proposals and research, and seek funding. Several strategies have been proposed to optimize these operations and to decentralize access to research resources and opportunities. For instance, we previously proposed the trinity review method, combining registered reports with financing and research ethics assessments. However, previously proposed systems have a number of shortcomings, including how to implement them, e.g., who manages them, how incentives for reviewers are paid, etc. Various solutions have been proposed to address these issues, employing methods based on blockchain technologies, called "decentralized science (DeSci)". Decentralized approaches that exploit these developments offer potentially profound improvements to the troubled scientific ecosystem. Here, we propose a system that integrates ethics reviews, peer reviews, and funding in a decentralized manner, based on Web3 technology. This new method, named ABCDEF publishing, would enhance the speed, fairness, and transparency of scientific research and publishing.

Indexed as

decentralized sciencefundingregistered reportsreproducibilityscientific ecosystem

Identifiers

PMID38303760
PMCPMC10831225

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.