Mining of Data in Real Time to build an Interactive Research Analytics Dashboard

Authors

  • Central Library, Indian Institute of Technology Delhi, Hauz Khas, New Delhi - 110016

DOI:

https://doi.org/10.17821/srels/2024/v61i4/171468

Keywords:

Bibliographic Data Mining, Data Analytics, Data Mining, Research Productivity

Abstract

The paper discusses the process of building a web-based interactive platform to assess the research productivity of the individual faculty of an institution. The application harvests the bibliographic data of researchers’ publications from the Scopus database and visualises it in real-time. The open-source environment R with different packages like the shiny, shiny dashboard for building web apps and dashboard designing; httr for data harvesting through API, jsonlite for parsing JSON data, tm for text mining, wordcloud for visualising wordcloud, textstem for lemmatization of text strings, dplyr for data manipulation, etc. were used. The data was harvested at the backend using Scopus API. The user interface of the application’s front end is the default design of the shiny dashboard, with some limited customization using CSS. The system tracks and visualizes the research productivity of the faculty. The application provides the total number of publications, citations, H Index, open access information, number of publications in open access, and closed access, in an assessment year rather than a calendar year, source-wise differentiation of publications, annual distribution of publications, common themes of the research, etc.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

Elsevier Developer Portal. (2024). Elsevier research products APIs. Elsevier. https://dev.elsevier.com

Gupta, A., Kumar, J., Mathew, D., & Bansal, S. (2011). Design and implementation of the workflow of an academic cloud [Conference presentation]. Databases in Networked Information Systems: 7th International Workshop, DNIS 2011, Aizu-Wakamatsu, Japan, December 12-14, 2011. Proceedings 7. Springer Berlin Heidelberg.

Martínez, M. Á., Herrera, M., Contreras, E., Ruiz, A., & HerreraViedma, E. (2015). Characterizing highly cited papers in Social Work through H-Classics. Scientometrics, 102(2015), 1713-1729. https://doi.org/10.1007/s11192-014-1460-y

Scopus. (2024). Scopus: Comprehensive, multidisciplinary, trusted abstract and citation database. Elsevier. https://www.elsevier.com/en-in/solutions/scopus

Scopus Content. (2024). How Scopus works. Elsevier. https://www.elsevier.com/solutions/scopus/how-scopus-works/content

Shamsul, A. M., Ali, S. H. S., Al-Sharafi, A., & Aborujilah, A. (2013). Cloud computing in academic institutions [Conference presentation]. Proceeding of the International Conference on Ubiquitous Information Management and Communication.

Published

2024-09-11

How to Cite

Garg, M. (2024). Mining of Data in Real Time to build an Interactive Research Analytics Dashboard. Journal of Information and Knowledge, 61(4), 169–177. https://doi.org/10.17821/srels/2024/v61i4/171468

Issue

Section

Articles