Research contributions to Sustainable Development Goals (SDGs): A comparison using the main bibliometric suites

Barbara S. Lancho Barrantes

Research contributions to Sustainable Development Goals (SDGs): A comparison using the main bibliometric suites

School of Arch, Tech and Eng

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

Abstract

The United Nations Sustainable Development Goals (SDGs) set an ambitious plan for society to create a world in which nobody is excluded. United Nations addressed all its country members to work on the achievement of the 17 goals that encompass 169 targets. The present bibliometric analysis summarises the research published globally on these universal goals. This analysis includes data from Web of Science, Scopus, and Dimensions. This is the first macro-level bibliometric assessment of InCites, SciVal and Dimensions Analytics between 2011-2020. SciVal captures the highest number of publications related to the SDGs, with Dimensions and InCites following behind. The publication results from SciVal and InCites have a very strong relation (0.93), allowing for the conclusion that both might be comparable. The two databases are well-accepted for being the most comprehensive citation databases with similar publication coverage. An exploratory factor analysis (EFA) and principal component analysis (PCA) were used to analyse the indicators related to the SDGs publications. This research suggests that statistical procedures can help us simplify complex and large numbers of indicators and reveal connections to Sustainable Development Goals.

Original language	English
Title of host publication	International Society for Scientometrics and Informetrics Conference (ISSI 2023)
Place of Publication	Indiana University
Number of pages	26
Publication status	Published - 3 Jul 2023
Event	International Society for Scientometrics and Informetrics Conference - Indiana University, Bloomington, United States Duration: 2 Jul 2023 → 5 Jul 2023 https://cns-iu.github.io/workshops/2023-07-02_issi/

Conference

Conference	International Society for Scientometrics and Informetrics Conference
Abbreviated title	ISSI 2023
Country/Territory	United States
City	Bloomington
Period	2/07/23 → 5/07/23
Internet address	https://cns-iu.github.io/workshops/2023-07-02_issi/

Keywords

Scientometrics
Sustainable Development Goals

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Cite this

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title = "Research contributions to Sustainable Development Goals (SDGs): A comparison using the main bibliometric suites",

abstract = "The United Nations Sustainable Development Goals (SDGs) set an ambitious plan for society to create a world in which nobody is excluded. United Nations addressed all its country members to work on the achievement of the 17 goals that encompass 169 targets. The present bibliometric analysis summarises the research published globally on these universal goals. This analysis includes data from Web of Science, Scopus, and Dimensions. This is the first macro-level bibliometric assessment of InCites, SciVal and Dimensions Analytics between 2011-2020. SciVal captures the highest number of publications related to the SDGs, with Dimensions and InCites following behind. The publication results from SciVal and InCites have a very strong relation (0.93), allowing for the conclusion that both might be comparable. The two databases are well-accepted for being the most comprehensive citation databases with similar publication coverage. An exploratory factor analysis (EFA) and principal component analysis (PCA) were used to analyse the indicators related to the SDGs publications. This research suggests that statistical procedures can help us simplify complex and large numbers of indicators and reveal connections to Sustainable Development Goals.",

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author = "{Lancho Barrantes}, {Barbara S.}",

year = "2023",

month = jul,

day = "3",

language = "English",

booktitle = "International Society for Scientometrics and Informetrics Conference (ISSI 2023)",

note = " International Society for Scientometrics and Informetrics Conference, ISSI 2023 ; Conference date: 02-07-2023 Through 05-07-2023",

url = "https://cns-iu.github.io/workshops/2023-07-02_issi/",

}

Lancho Barrantes, BS 2023, Research contributions to Sustainable Development Goals (SDGs): A comparison using the main bibliometric suites. in International Society for Scientometrics and Informetrics Conference (ISSI 2023). Indiana University, International Society for Scientometrics and Informetrics Conference, Bloomington, United States, 2/07/23. <https://www.conftool.pro/issi2023/index.php?page=browseSessions&form_session=20>

Research contributions to Sustainable Development Goals (SDGs): A comparison using the main bibliometric suites. / Lancho Barrantes, Barbara S.
International Society for Scientometrics and Informetrics Conference (ISSI 2023). Indiana University, 2023.

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

TY - GEN

T1 - Research contributions to Sustainable Development Goals (SDGs)

T2 - International Society for Scientometrics and Informetrics Conference

AU - Lancho Barrantes, Barbara S.

PY - 2023/7/3

Y1 - 2023/7/3

N2 - The United Nations Sustainable Development Goals (SDGs) set an ambitious plan for society to create a world in which nobody is excluded. United Nations addressed all its country members to work on the achievement of the 17 goals that encompass 169 targets. The present bibliometric analysis summarises the research published globally on these universal goals. This analysis includes data from Web of Science, Scopus, and Dimensions. This is the first macro-level bibliometric assessment of InCites, SciVal and Dimensions Analytics between 2011-2020. SciVal captures the highest number of publications related to the SDGs, with Dimensions and InCites following behind. The publication results from SciVal and InCites have a very strong relation (0.93), allowing for the conclusion that both might be comparable. The two databases are well-accepted for being the most comprehensive citation databases with similar publication coverage. An exploratory factor analysis (EFA) and principal component analysis (PCA) were used to analyse the indicators related to the SDGs publications. This research suggests that statistical procedures can help us simplify complex and large numbers of indicators and reveal connections to Sustainable Development Goals.

AB - The United Nations Sustainable Development Goals (SDGs) set an ambitious plan for society to create a world in which nobody is excluded. United Nations addressed all its country members to work on the achievement of the 17 goals that encompass 169 targets. The present bibliometric analysis summarises the research published globally on these universal goals. This analysis includes data from Web of Science, Scopus, and Dimensions. This is the first macro-level bibliometric assessment of InCites, SciVal and Dimensions Analytics between 2011-2020. SciVal captures the highest number of publications related to the SDGs, with Dimensions and InCites following behind. The publication results from SciVal and InCites have a very strong relation (0.93), allowing for the conclusion that both might be comparable. The two databases are well-accepted for being the most comprehensive citation databases with similar publication coverage. An exploratory factor analysis (EFA) and principal component analysis (PCA) were used to analyse the indicators related to the SDGs publications. This research suggests that statistical procedures can help us simplify complex and large numbers of indicators and reveal connections to Sustainable Development Goals.

KW - Scientometrics

KW - Sustainable Development Goals

UR - https://cns-iu.github.io/workshops/2023-07-02_issi/#about

M3 - Conference contribution with ISSN or ISBN

BT - International Society for Scientometrics and Informetrics Conference (ISSI 2023)

CY - Indiana University

Y2 - 2 July 2023 through 5 July 2023

ER -

Research contributions to Sustainable Development Goals (SDGs): A comparison using the main bibliometric suites

Abstract

Conference

Keywords

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