Evidence map›Paper›PMID 36225341›Full record

ArticleFrontiers in research metrics and analytics2022

Preprints as a driver of open science: Opportunities for Southeast Asia.

Dasapta Erwin Irawan, Hilyatuz Zahroh, Iratxe Puebla

Abstract read
In one paragraph

Article in Frontiers in research metrics and analytics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Dasapta Erwin IrawanInstitut Teknologi Bandung and RINarxiv, Bandung, Indonesia.
Hilyatuz ZahrohUniversitas Yarsi and RINarxiv, Central Jakarta, Indonesia.
Iratxe PueblaASAPbio, Cambridge, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Southeast Asia is an emerging force of open access scholarly output. For example, Indonesia is in a tight competition with United Kingdom as the largest publisher of open access journals and the second largest producer of open access articles in the world (according to DOAJ and the COKI OA Dashboard, respectively). However, this support for open practices is not yet reflected in institutional research policies in Southeast Asian countries, which still rely on criteria influenced by world university rankings that focus on publication outputs and do not incorporate elements related to research culture, integrity, or open science. Preprints have gained increasing attention across disciplines in the last few years, but they are still not included in institutional policies in SouthEast Asia. This paper discusses the potential for preprints to be a driving force for open science and for quality and integrity in scholarly outputs from Southeast Asia. There is a fledgling preprinting culture in the region, catalyzed by the RINarxiv preprint server in Indonesia and the Malaysia Open Science Platform. We argue that preprints have many advantages: opportunities for open access and for researchers to maintain copyright to their work, wide dissemination, encouraging feedback and critical thinking, and community governance. With these advantages, preprints can become a fast and open communication hub between researchers and all stakeholders in the research process. We recommend regulatory and practical steps to incorporate preprints into science policy and researchers' practices as an effort to promote research integrity, open data and reproducibility.

Indexed as

diversityopen accessopen sciencepreprintsreproducibilityresearch integritySoutheast Asia

Identifiers

PMID36225341
PMCPMC9548629

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.