Developing Real-Time Research Data Visualization Dashboard for Academic Institutions and Libraries: Utilizing OpenAlex Database and Open-Source Software

Document Type : Original Article

Authors

1 Assistant Librarian (On Lien), National Institute of Technology Rourkela, Odisha, India, And Deputy Librarian, Tripura University, Tripura, India.

2 Professor, Department of Library and Information Science, Vidyasagar University, Midnapore West Bengal, India.

3 Associate Prof., Department of Library and Information Science, Central University of Punjab, Bathinda, Punjab, India.

10.22034/ijism.2026.2057528.1780
Abstract
The case study proposed a solution for real-time research data visualization for academic Institutions. It developed a model of an interactive, real-time research data-visualization dashboard for academic institutions, using the OpenAlex database API and open-source tools such as Python, Flask, and Plotly. It compares OpenAlex and Scopus to assess the coverage of open-access databases and their future impact, highlighting API-based features for data visualization. Flask is utilized to build a dashboard (Web application) with API URLs, while HTML and CSS organize the charts, tables, colors, etc., on the front end for data visualization. The publication data of the top 10 QS-ranked universities were analyzed using both Scopus and OpenAlex to evaluate OpenAlex's potential as a reliable data source for research assessment and for the present study. The tools and the framework designed offer significant advantages to information professionals and libraries in creating an interactive, real-time research data visualization dashboard. Using publication counts at the institutional level as the unit of analysis, the Pearson correlation coefficient showed that OpenAlex coverage is strongly aligned with that of Scopus. The flexibility of the OpenAlex API permits seamless visualization of statistics through charts and graphs. The charts are downloadable from the dashboard and can be further embedded in websites/blogs; they streamline the report preparation process and data presentation for researchers and administrators, saving valuable time and effort. A literature review and online observation indicate that this research introduces a framework and dashboard, and that these services are not visible on any academic institution's website, making this idea novel. Although prior research has compared Scopus and OpenAlex, the novelty of this study lies in assessing their coverage based on publication data from the world’s top-ranked universities. Information professionals, libraries, and educational institutions can use the framework to develop real-time research-visualization dashboards. The study also supports academics in making informed decisions when choosing between proprietary and open-access databases and their APIs.

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Subjects

Ahmad, K., JianMing, Z. & Rafi, M. (2019). An analysis of academic librarians' competencies and skills for implementation of Big Data analytics in libraries: A correlational study. Data Technologies and Applications, 53(2), 201–216. https://doi.org/10.1108/DTA-09-2018-0085
API Overview (2023). OpenAlex technical documentation. (2023, October 13). Retrieved from https://docs.openalex.org/how-to-use-the-api/api-overview
Baas, J., Schotten, M., Plume, A., Côté, G. & Karimi, R. (2020a). Scopus is a curated, high-quality bibliometric data source for academic research in quantitative science studies. Quantitative Science Studies, 1(1), 377–386. https://doi.org/10.1162/qss_a_00019
Bennett, T. (2023, November 8). REST APIs vs Direct DB Access: Pros & Cons | DreamFactory. Retrieved from https://blog.dreamfactory.com/direct-database-access-vs-rest-apis-pros-and-cons-for-application-connectivity/
Bordignon, F. (2024, March). Is OpenAlex a revolution or a challenge for bibliometrics/bibliometricians? In Groupe de travail Science Ouverte UDICE. Bordeaux, France. Retrieved from https://enpc.hal.science/hal-04520837v1
Brightcall (2024, April 17). The Power of Real-Time Dashboards: Enhancing Data Visualization and Decision-Making. Retrieved from https://brightcall.ai/blog/the-power-of-real-time-dashboards-enhancing-data-visualization-and-decision-making
Cao, Z., Zhang, L., Huang, Y. & Haunschild, R. (2025). How does academia refer to open research information data sources? A review study based on OpenAlex and Microsoft Academic series. Scientometrics. 131(2), 873-899. https://doi.org/10.1007/s11192-025-05347-6
Caughlin, D. E. & Bauer, T. N. (2019). Data visualizations and human resource management: the state of science and practice. In M. Ronald Buckley, A. R. Wheeler, J. E. Baur, & J. R. B. Halbesleben (Eds.), Research in personnel and human resources management (Vol. 37, pp. 89–132). Emerald Publishing Limited. https://doi.org/10.1108/S0742-730120190000037004
Chapman, C. (2024, April 18). A complete overview of the best data visualization tools. Toptal Design Blog. Retrieved from https://www.toptal.com/designers/data-visualization/data-visualization-tools
Chen, H. M. (2019). Information visualization skills for academic librarians: A content analysis of publications and online LibGuides in the digital humanities. Library Hi Tech, 37(3), 591-603. https://doi.org/10.1108/LHT-01-2018-0012
Chirag, D. (2024, June 6). Why API development matters for modern applications. Medium. Retrieved from https://medium.com/@chirag.dave/why-api-development-is-crucial-for-modern-applications-568b469e032c
Clarivate (2024, May 23). Web of science API expanded. Retrieved from https://developer.clarivate.com/apis/wos
Coursera (2023, November 29). What is Data Visualization? Definition, Tools, & Examples. Retrieved from https://www.coursera.org/articles/data-visualization
Culbert, J. H., Hobert, A., Jahn, N., Haupka, N., Schmidt, M., Donner, P. & Mayr, P. (2025). Reference coverage analysis of OpenAlex compared to Web of Science and Scopus. Scientometrics, 130(4), 2475-2492. https://doi.org/10.1007/s11192-025-05293-3
 
De Bruin, J. (2023). PyAlex (Version 0.8) [Python]. Retrieved from https://pypi.org/project/pyalex/ 
Delgado-Quirós, L. & Ortega, J. L. (2024). Completeness degree of publication metadata in eight free-access scholarly databases. Quantitative Science Studies, 5(1), 31–49. https://doi.org/10.1162/qss_a_00286
Elsevier Developer Portal (2024, April 19). Elsevier research products APIs. Retrieved from https://dev.elsevier.com/
ElsevierDev/elsapy. (2024). [Python]. Elsevier Developers. Retrieved from  https://github.com/ElsevierDev/elsapy  (Original work published 2016)
Goonawardene, P. (2022, August 30). Understand the best data visualizations for dashboards. Medium. Retrieved from https://pathumpmgux.medium.com/understand-the-best-data-visualizations-for-dashboards-2aa980a40fbf
Gusenbauer, M. (2022). Search where you will find most: Comparing the disciplinary coverage of 56 bibliographic databases. Scientometrics, 127(5), 2683–2745. https://doi.org/10.1007/s11192-022-04289-7
Harder, R. (2024). Using Scopus and OpenAlex APIs to retrieve bibliographic data for evidence synthesis. A procedure based on Bash and SQL. MethodsX, 12, 102601. https://doi.org/10.1016/j.mex.2024.102601
Heryandi, A. (2018, August). Developing application programming interface (API) for student academic activity monitoring using firebase cloud messaging (FCM). In IOP Conference Series: Materials Science and Engineering (Vol. 407, No. 1, p. 012149). IOP Publishing. https://doi.org/10.1088/1757-899X/407/1/012149
Huang, C.-K., Neylon, C., Montgomery, L., Hosking, R., Diprose, J. P., Handcock, R. N. & Wilson, K. (2024). Open-access research outputs receive more diverse citations. Scientometrics, 129(2), 825–845. https://doi.org/10.1007/s11192-023-04894-0
Jiao, C., Li, K. & Fang, Z. (2023). How are exclusively data journals indexed in major scholarly databases? An examination of four databases. Scientific Data, 10, 737. https://doi.org/10.1038/s41597-023-02625-x
JSON. (2024, April 22).  Introducing JSON. Retrieved from https://www.json.org/json-en.html
Kirimi, W. (2021, March 26). What is a creative commons zero (CC0) license? ImageSuggest. Retrieved from https://imagesuggest.com/blog/what-is-a-creative-commons-zero-cc0-license/
Maddi, A., Maisonobe, M. & Boukacem-Zeghmouri, C. (2025). Geographical and disciplinary coverage of open access journals: OpenAlex, Scopus, and WoS. PLOS One, 20(4), e0320347. https://doi.org/10.1371/journal.pone.0320347
Medium (2024, April 4). Unleashing data stories: Creating interactive visualizations with plotly and D3.js. Retrieved from https://medium.com/@data-overload/unleashing-data-stories-creating-interactive-visualizations-with-plotly-and-d3-js-63db76965afb
Mezquita, B., Martín-Delgado, L., Wennberg Capellades, L. & Borrego, Á. (2025). A Comparison of OpenAlex with Scopus and Web of Science for tracking scholarly nursing literature. SAGE Open Nursing, 11. https://doi.org/10.1177/23779608251361012
Nawaz, M. S., Khan, S. U. R., Hussain, S. & Iqbal, J. (2022). A study on application programming interface recommendation: State-of-the-art techniques, challenges and future directions. Library Hi Tech, 41(2), 355–385. https://doi.org/10.1108/LHT-02-2022-0103
 
Nielsen, K., Andersen, T., Jensen, R., Nielsen, J. H. & Chorkendorff, I. (2014). An Open-Source Data Storage and Visualization Back End for Experimental Data. Journal of Laboratory Automation, 19(2), 183-190. https://doi.org/10.1177/2211068213503824
Nkhoma, C., Dang-Pham, D., Hoang, A.-P., Nkhoma, M., Le-Hoai, T. & Thomas, S. (2020). Learning analytics techniques and visualization with textual data for determining causes of academic failure. Behavior & Information Technology, 39(7), 808–823. https://doi.org/10.1080/0144929X.2019.1617349
OpenAlex (2024, April 16). About us. Retrieved from https://help.openalex.org/hc/en-us/articles/24396686889751-About-us
OpenAlex (2024, April 18). Works Overview-OpenAlex Developers. Retrieved from https://developers.openalex.org/api-reference/works
Parnas Gulnes, M., Soylu, A. & Roman, D. (2022). A graph-based approach for representing, integrating and analysing neuroscience data: the case of the murine basal ganglia. Data Technologies and Applications, 56(3), 358-381. https://doi.org/10.1108/DTA-12-2020-0303
Payne, S., Dudek, D., Wittstadt, B., Cyzyk, M. & Edwards, T. (2021). Data visualisations for library collections: Applying an inquiry-based approach. In Assessment as Information Practice (pp. 91-106). Routledge. https://doi.org/10.4324/9781003083993
Pranckutė, R. (2021). Web of Science (WoS) and Scopus: The titans of bibliographic information in Today’s Academic World. Publications, 9(1), 12. https://doi.org/10.3390/publications9010012
Priem, J., Piwowar, H. & Orr, R. (2022). OpenAlex: A fully open index of scholarly works, authors, venues, institutions, and concepts. https://doi.org/10.48550/arXiv.2205.01833
QS World University Rankings (2024,). Top Universities. Retrieved from https://www.topuniversities.com/world-university-rankings
Quora (2024, April 18).  Should I use API or direct database access? Retrieved from https://www.quora.com/Should-I-use-API-or-direct-database-access
Rind, A. (2013). Interactive information visualization to explore and query electronic            health records. Foundations and Trends in Human–Computer Interaction, 5(3), 207-298. https://doi.org/10.1561/1100000039
Scheidsteger, T. & Haunschild, R. (2022). Comparison of metadata with relevance for bibliometrics between Microsoft Academic Graph and OpenAlex until 2020. https://doi.org/10.48550/arXiv.2206.14168
Scheidsteger, T. & Haunschild, R. (2023). Which of the metadata with relevance for bibliometrics are the same and which are different when switching from Microsoft Academic Graph to OpenAlex? Profesional de La Información, 32(2). https://doi.org/10.3145/epi.2023.mar.09
Scopus (2024, April 18). Scopus: A comprehensive abstract and citation database for impact makers. Retrieved from https://www.elsevier.com/products/scopus
Shashikumara, A. A. & Kumbar, R. (2021). Data visualization software tools for academic libraries: An analysis. Indian Journal of Information, Library & Society, 34(1-2), 57-70.
Sievert, C. (2020). Interactive Web-Based Data Visualization with R, plotly, and shiny. Chapman and Hall/CRC. https://doi.org/10.1201/9780429447273
 
 
Singh, V. K., Singh, P., Karmakar, M., Leta, J. & Mayr, P. (2021). The journal coverage of Web of Science, Scopus, and Dimensions: A comparative analysis. Scientometrics, 126(6), 5113–5142. https://doi.org/10.1007/s11192-021-03948-5
Tufte, E. R. (2007). The visual display of quantitative information. Graphics Press (2nd ed.). Cheshire, CT: Graphics press LLC. Retrieved from https://kyl.neocities.org/books/%5BTEC%20TUF%5D%20the%20visual%20display%20of%20quantitative%20information.pdf
Vázquez-Ingelmo, A., García-Holgado, A., Verdugo-Castro, S., Therón, R. & García-Peñalvo, F. J. (2024). Data visualization and domain knowledge: Insights through focus groups of researchers in Spain. Computers in Human Behavior, 155, 108162. https://doi.org/10.1016/j.chb.2024.108162
Vélez-Estevez, A., Perez, I. J., García-Sánchez, P., Moral-Muñoz, J. A. & Cobo, M. J. (2023). New trends in bibliometric APIs: A comparative analysis. Information Processing & Management, 60(4), 103385. https://doi.org/10.1016/j.ipm.2023.103385
Vílchez-Román, C., Sanguinetti, S. & Mauricio-Salas, M. (2020). Applied bibliometrics and information visualization for decision-making processes in higher education institutions. Library Hi Tech, 39(1), 263–283. https://doi.org/10.1108/LHT-10-2019-0209
Zakaria, M. S. (2021). Data visualization as a research support service in academic libraries: An investigation of world-class universities. The Journal of Academic Librarianship, 47(5), 102397. https://doi.org/10.1016/j.acalib.2021.102397
Zepecki, A., Guendelman, S., DeNero, J. & Prata, N. (2020). using application programming interfaces to access Google data for health research: Protocol for a methodological framework. JMIR Research Protocols, 9(7), e16543. https://doi.org/10.2196/16543
Zhang, L., Cao, Z., Shang, Y., Sivertsen, G. & Huang, Y. (2024). Missing institutions in OpenAlex: Possible reasons, implications, and solutions. Scientometrics, 129(10), 5869-5891. https://doi.org/10.1007/s11192-023-04923-y

Articles in Press, Accepted Manuscript
Available Online from 10 June 2026

  • Receive Date 09 April 2025
  • Accept Date 10 June 2026