Proceedings of the International Conference on Smart Systems and Social Management (ICSSSM 2025)

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Big Data and Sustainable Development: A Scientometric Perspective (2013–2024)

Authors
Trinayan B. Borgohain1, *, Mon Bahadur Gautam2, Rajeshkumar M. Gamit3
1Department of Library & Information Science, Gujarat University, Ahmedabad, India
2L B Central Library, IIT Guwahati, Guwahati, India
3Department of Library & Information Science, Gujarat University, Ahmedabad, India
*Corresponding author. Email: btrinayan@gmail.com
Corresponding Author
Trinayan B. Borgohain
Available Online 29 December 2025.
DOI
10.2991/978-94-6463-950-6_16How to use a DOI?
Keywords
Big Data; Sustainable Development; Scientometric; Artificial Intelligence
Abstract

This scientometric study explores the evolving research landscape of big data and sustainable development till 2024. Utilizing the Scopus database, 16,122 records were analyzed with Bibliometrix in R Studio and VOSviewer to examine publication trends, influential authors, leading institutions, and key thematic areas. The results show that research production has significantly increased, with interdisciplinary subjects including environmental science, data analytics, and public policy making important contributions. With a focus on real-time environmental monitoring, predictive analytics for resource management, and data-driven policymaking, the analysis demonstrates a paradigm shift towards incorporating big data analytics into sustainable development methods. Co-authorship networks and keyword analysis highlight artificial intelligence, machine learning, and data analytics as dominant themes. This study offers insights into the integration of big data in sustainable development by mapping trends and knowledge gaps, directing future research and encouraging international cooperation.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Smart Systems and Social Management (ICSSSM 2025)
Series
Advances in Intelligent Systems Research
Publication Date
29 December 2025
ISBN
978-94-6463-950-6
ISSN
1951-6851
DOI
10.2991/978-94-6463-950-6_16How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Trinayan B. Borgohain
AU  - Mon Bahadur Gautam
AU  - Rajeshkumar M. Gamit
PY  - 2025
DA  - 2025/12/29
TI  - Big Data and Sustainable Development: A Scientometric Perspective (2013–2024)
BT  - Proceedings of the International Conference on Smart Systems and Social Management (ICSSSM 2025)
PB  - Atlantis Press
SP  - 220
EP  - 242
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-950-6_16
DO  - 10.2991/978-94-6463-950-6_16
ID  - Borgohain2025
ER  -