Applying quantified indicators in Central Asian science: can metrics improve the regional research performance?
(2023) In Scientometrics 128. p.177-206- Abstract
- Quantified indicators are increasingly used for performance evaluations in the science sectors worldwide. However, relatively little information is available on the expanding use of research metrics in certain transition countries. Central Asia is a post-Soviet region where newly independent states achieved lower research performance relative to comparators in key indicators of productivity and integrity. The majority of the countries in this region showed an overall declining or stagnating research impact in the recent decade since 2008. This study discusses the implications of research metrics as applied to the transition countries based on the framework of ten principles of the Leiden Manifesto. They can guide Central Asian policymakers... (More)
- Quantified indicators are increasingly used for performance evaluations in the science sectors worldwide. However, relatively little information is available on the expanding use of research metrics in certain transition countries. Central Asia is a post-Soviet region where newly independent states achieved lower research performance relative to comparators in key indicators of productivity and integrity. The majority of the countries in this region showed an overall declining or stagnating research impact in the recent decade since 2008. This study discusses the implications of research metrics as applied to the transition countries based on the framework of ten principles of the Leiden Manifesto. They can guide Central Asian policymakers in creating systems for a more objective evaluation of research performance based on globally recognized indicators. Given the local conditions of authoritarianism and corruption, the broader use of transparent indicators in decision-making can help improve the positions of Central Asian science in international rankings. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/df2c5534-ca78-49b0-be09-b14c674163d4
- author
- Ovezmyradov, Berdymyrat LU
- organization
- publishing date
- 2023
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- science, Central Asia
- in
- Scientometrics
- volume
- 128
- pages
- 177 - 206
- publisher
- Akademiai Kiado
- external identifiers
-
- scopus:85139999144
- ISSN
- 1588-2861
- DOI
- 10.1007/s11192-022-04544-x
- project
- Legal Cultures and Business Environments in Central Asia
- language
- English
- LU publication?
- yes
- id
- df2c5534-ca78-49b0-be09-b14c674163d4
- alternative location
- https://rdcu.be/cXLJT
- date added to LUP
- 2022-10-19 04:13:25
- date last changed
- 2023-03-31 13:19:15
@article{df2c5534-ca78-49b0-be09-b14c674163d4,
abstract = {{Quantified indicators are increasingly used for performance evaluations in the science sectors worldwide. However, relatively little information is available on the expanding use of research metrics in certain transition countries. Central Asia is a post-Soviet region where newly independent states achieved lower research performance relative to comparators in key indicators of productivity and integrity. The majority of the countries in this region showed an overall declining or stagnating research impact in the recent decade since 2008. This study discusses the implications of research metrics as applied to the transition countries based on the framework of ten principles of the Leiden Manifesto. They can guide Central Asian policymakers in creating systems for a more objective evaluation of research performance based on globally recognized indicators. Given the local conditions of authoritarianism and corruption, the broader use of transparent indicators in decision-making can help improve the positions of Central Asian science in international rankings.}},
author = {{Ovezmyradov, Berdymyrat}},
issn = {{1588-2861}},
keywords = {{science; Central Asia}},
language = {{eng}},
pages = {{177--206}},
publisher = {{Akademiai Kiado}},
series = {{Scientometrics}},
title = {{Applying quantified indicators in Central Asian science: can metrics improve the regional research performance?}},
url = {{https://lup.lub.lu.se/search/files/126140239/cascience2022scientometrics_s11192_022_04544_x.pdf}},
doi = {{10.1007/s11192-022-04544-x}},
volume = {{128}},
year = {{2023}},
}