Analysis of Nigeria's Research productivity between year 2013 and 2023
### Nigeria Research Productivity Analysis
This repository contains the data and code for a Master's thesis on Nigeria's research productivity. The project analyzes scholarly publication trends and collaboration dynamics from 2014 to 2023, using a dataset compiled from the Scopus database. The contents are designed to be fully transparent and reproducible.
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### Repository Contents
* **`dashboard/`**: This folder contains the html file that presents an interactive dashboard base on the dataset.
* **`src/`**: This folder contains the Jupyter notebooks used for the entire research process.
* `A_Data_Collection.ipynb`: Details the data acquisition steps and search queries used in Scopus.
* `B1_Country_Extraction.ipynb`: Details the data cleaning and data transformation steps involved in preparing the countries data.
* `B2_Institution_Extraction.ipynb`: Details data cleaning and data transformation steps involved in preparing the institutions data.
* `B3_OECD_Discipiline_Categorization.ipynb`: Details the data transformation steps and the methodology for categorizing all the subjects areas in to only six disciplines per the OECD's 2015 Franscati Manual.
* `C_Main_Analysis.ipynb`: Contains the core analysis and visualizations, including publication trends, disciplinary distribution, and an exploration of authorship patterns.
* `LICENSE.md`: The full text of the Creative Commons license for the dataset.
* `CITATION.cff`: A file with machine-readable citation information for this repository.
* `README.md`: The project overview and guide you are reading now.
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### How to Reproduce the Analysis
**Important Note:** Due to the large size of the main datasets, the raw and processed data files are **not included** in this GitHub repository. The notebooks are designed to run in a Google Colab environment and assume the necessary data files are accessible within your Google Drive.
1. **Clone the Repository:**
```sh
git clone
github.com …