Strengthening of the Ecuciencia Platform through Data Analysis and Visualization at the Technical University of Cotopaxi

This applied research work focused on strengthening the Ecuciencia platform at the Technical University of Cotopaxi through the implementation of data analysis and visualization using Power BI and PostgreSQL. A quantitative approach with a descriptive design was employed to conduct an extraction, transformation, and loading (ETL) process that ensured data quality and consistency. The objective was to develop intuitive and meaningful key performance indicators (KPIs) to evaluate the scientific production of faculty, aiding informed decision-making. The dashboard validation indicated high satisfaction regarding its usability and interactivity, highlighting its relevance for the university community. The findings demonstrate the importance of visualization technologies in research, promoting a dynamic and collaborative environment. This model can be replicated in other institutions to foster a data-driven culture centered on innovation and scientific advancement.

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Publication Details

Journal
Nanotechnology Perceptions
Published
2024-11-04
DOI
https://doi.org/10.62441/nano-ntp.vi.3067
Primary Topic
Scientific Research and Technology
Type
article
Field-Weighted Citation Impact
0.00
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article

Strengthening of the Ecuciencia Platform through Data Analysis and Visualization at the Technical University of Cotopaxi

Gustavo Rodríguez, Silvana Marisol Zumba Santamaría, Rene Quisaguano Collaguazo
Nanotechnology Perceptions
Scientific Research and Technology
article

Strengthening of the Ecuciencia Platform through Data Analysis and Visualization at the Technical University of Cotopaxi

Gustavo Rodríguez, Silvana Marisol Zumba Santamaría, Rene Quisaguano Collaguazo
article en

Abstract

This applied research work focused on strengthening the Ecuciencia platform at the Technical University of Cotopaxi through the implementation of data analysis and visualization using Power BI and PostgreSQL. A quantitative approach with a descriptive design was employed to conduct an extraction, transformation, and loading (ETL) process that ensured data quality and consistency. The objective was to develop intuitive and meaningful key performance indicators (KPIs) to evaluate the scientific production of faculty, aiding informed decision-making. The dashboard validation indicated high satisfaction regarding its usability and interactivity, highlighting its relevance for the university community. The findings demonstrate the importance of visualization technologies in research, promoting a dynamic and collaborative environment. This model can be replicated in other institutions to foster a data-driven culture centered on innovation and scientific advancement.

Nanotechnology Perceptions
Industry, innovation and infrastructure
Openalex Percentile: Top 76%
Scientific Research and Technology
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