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Open science in the developing world : a collection of practical guides for researchers in developing countries
ID
Chuan-Peng, Hu
(
Author
),
ID
Xu, Zhiqi
(
Author
),
ID
Lazić, Aleksandra
(
Author
),
ID
Bhattacharya, Piyali
(
Author
),
ID
Seda, Leonardo
(
Author
),
ID
Hossain, Samiul
(
Author
),
ID
Jeftić, Alma
(
Author
),
ID
Özdoğru, Asil Ali
(
Author
),
ID
Amaral, Olavo B.
(
Author
),
ID
Miljković, Nadica
(
Author
)
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MD5: B1F596ED5F3B292A8C76175BBD2D74D1
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https://journals.sagepub.com/doi/10.1177/25152459251357565
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Abstract
Over the past decade, the open-science movement has transformed the research landscape, although its impact has largely been confined to developed countries. Recently, researchers from developing countries have called for a redesign of open science to better align with their unique contexts. However, raising awareness alone is insufficient—practical actions are required to drive meaningful and inclusive change. In this work, we analyze the opportunities offered by the open-science movement and explore the macro- and micro-level barriers researchers in developing countries face when engaging with these practices. Drawing on these insights and aiming to inspire researchers in developing regions or other resource-constrained contexts to embrace open-science practices, we offer a four-level guide for gradual engagement: (a) foundation, using open resources to build a solid foundation for rigorous research; (b) growth, adopting low-cost, easily implementable practices; (c) community, contributing to open-science communities through actionable steps; and (d) leadership, taking on leadership roles or forming local communities to foster cultural change. We further discuss potential pitfalls of the current open-science practices and call for readaptation of these practices in developing countries’ settings. We conclude by outlining concrete recommendations for future action.
Language:
English
Keywords:
open science
,
developing countries
,
barriers
,
inequality
,
knowledge generation
,
open materials
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FE - Faculty of Electrical Engineering
Publication status:
Published
Publication version:
Version of Record
Year:
2025
Number of pages:
26 str.
Numbering:
Vol. 8, issue 3
PID:
20.500.12556/RUL-172584
UDC:
001.891
ISSN on article:
2515-2467
DOI:
10.1177/25152459251357565
COBISS.SI-ID:
248092675
Publication date in RUL:
09.09.2025
Views:
167
Downloads:
69
Metadata:
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Record is a part of a journal
Title:
Advances in methods and practices in psychological science
Shortened title:
Adv. methods pract. psychol. sci.
Publisher:
SAGE Publications
ISSN:
2515-2467
COBISS.SI-ID:
51894019
Licences
License:
CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
Link:
http://creativecommons.org/licenses/by-nc/4.0/
Description:
A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.
Secondary language
Language:
Slovenian
Keywords:
odprta znanost
,
države v razvoju
,
ovire
,
neenakopravnost
,
ustvarjanje znanja
,
odprti materiali
Projects
Funder:
Nation Natural Science Foundation of China
Project number:
32471097
Funder:
Ministry of Science, Technological Development, and Innovation of the Republic of Serbia
Project number:
451-03-137/2025-03/200163
Funder:
Ministry of Science, Technological Development, and Innovation of the Republic of Serbia
Project number:
451-03-137/2025-03/200103
Funder:
São Paulo Research Foundation
Project number:
2022/00342-8
Funder:
Other - Other funder or multiple funders
Funding programme:
Shanghai Pujiang Programme
Project number:
24PJC025
Funder:
Other - Other funder or multiple funders
Funding programme:
Shanghai Chenguang Programme
Project number:
24CGA28
Funder:
University of Costa Rica
Project number:
723-C4-004
Funder:
Centre for Social Conflict and Cohesion Studies
Project number:
ANID/FONDAP/1523A0005
Funder:
EC - European Commission
Project number:
101020940
Name:
Developing new behavioural models at the intersection of psychology, econometrics and machine learning
Acronym:
SYNERGY
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