Scientific Information Research
Keywords
big data, social science research, philosophy and social science laboratories, data analysis
Abstract
[Purpose/significance]The integration of big data into various fields and aspects of social science research has facilitated the transformation of research paradigms.To this end, this article analyzes the motivations and logic behind big data empowering social science research and explores the implementation pathways for promoting the application of big data in social science research. [Method/process]Based on an analysis of the dilemmas faced by traditional social science research methods, the article delves into the impact mechanisms of big data on the entire process of social science research, including topic selection, literature review,research framework design, data collection, data analysis and visualization, dissemination of results, and evaluation of outcomes.Subsequently,it proposes leveraging the opportunity of "new liberal arts" development to promote the construction of philosophy and social science laboratories from multiple dimensions, including enhancing awareness, fostering differentiated development,strengthening computational support, developing tools and platforms, cultivating interdisciplinary talents, building data resource libraries, and improving supporting systems. [Result/conclusion]The study reveals that big data exerts a comprehensive and pervasive influence on social science research.The construction of philosophy and social science laboratories that integrate various innovative resources has become an effective way to promote the application of big data in social science research.
Digital Object Identifier (DOI)
10.19809/j.cnki.kjqbyj.2025.02.012
Recommended Citation
XU, Anming and PENG, Tianhuan
(2025)
"Exploration of Big Data-Enabled Approaches in Social Science Research,"
Scientific Information Research: Vol. 7:
Iss.
2, Article 12.
DOI: 10.19809/j.cnki.kjqbyj.2025.02.012
Available at:
https://eng.kjqbyj.com/journal/vol7/iss2/12