Academic Data Repository: A Web-Based Platform for Dataset Sharing and Collaboration

Abstract: The exponential growth of data-driven research and technological advancement has created an unprecedented demand for accessible, well-organized datasets across educational and research institutions. This project presents the development of a comprehensive web-based platform designed specifically for dataset sharing and collaboration within academic environments. The Academic Data Repository addresses the critical gap in localized, user-friendly data management systems by providing students, educators, and researchers with an intuitive interface for uploading, exploring, reviewing, and downloading diverse datasets. The platform implements a robust authentication system with role-based access control, enabling differentiated functionality for administrators, faculty members, and students. Key features include multi-format dataset support (CSV, Excel, JSON, PDF), automatic Excel-to-CSV conversion, real-time file preview capabilities, and a sophisticated version control system that allows collaborative dataset management. The system incorporates a community-driven review and rating mechanism to ensure dataset quality and relevance, while advanced search and filtering capabilities facilitate efficient dataset discovery. Built using modern web technologies including PHP 8.0+, MySQL 8.0+, HTML5, CSS3, and JavaScript ES6+, the platform emphasizes security, scalability, and user experience. Security measures include bcrypt password hashing, CSRF protection, SQL injection prevention through prepared statements, and comprehensive input validation. This project contributes to the advancement of academic data management by providing an open-source, locally deployable solution that addresses the specific needs of educational institutions in developing regions. By fostering data sharing and collaboration, the platform promotes research transparency, educational resource accessibility, and collaborative learning environments. The successful deployment of this system demonstrates the feasibility of developing sophisticated web applications that combine technical excellence with practical utility in academic settings.

Authors

Institutions

Publication Details

Journal
International Journal of Latest Technology in Engineering Management & Applied Science
Published
2025-09-24
DOI
https://doi.org/10.51583/ijltemas.2025.1408000193
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Academic Data Repository: A Web-Based Platform for Dataset Sharing and Collaboration

Richard Essah, Broni John Eyra Kobby, Alexander Essien, Anthony Ofori Owusu et al.
International Journal of Latest Technology in Engineering Management & Applied Science
Data Quality and Management
article

Academic Data Repository: A Web-Based Platform for Dataset Sharing and Collaboration

Richard Essah, Broni John Eyra Kobby, Alexander Essien, Anthony Ofori Owusu, McCarthy Mawuko Kwesi Defor, Sylvia Esi Amoah
article en

Abstract

Abstract: The exponential growth of data-driven research and technological advancement has created an unprecedented demand for accessible, well-organized datasets across educational and research institutions. This project presents the development of a comprehensive web-based platform designed specifically for dataset sharing and collaboration within academic environments. The Academic Data Repository addresses the critical gap in localized, user-friendly data management systems by providing students, educators, and researchers with an intuitive interface for uploading, exploring, reviewing, and downloading diverse datasets. The platform implements a robust authentication system with role-based access control, enabling differentiated functionality for administrators, faculty members, and students. Key features include multi-format dataset support (CSV, Excel, JSON, PDF), automatic Excel-to-CSV conversion, real-time file preview capabilities, and a sophisticated version control system that allows collaborative dataset management. The system incorporates a community-driven review and rating mechanism to ensure dataset quality and relevance, while advanced search and filtering capabilities facilitate efficient dataset discovery. Built using modern web technologies including PHP 8.0+, MySQL 8.0+, HTML5, CSS3, and JavaScript ES6+, the platform emphasizes security, scalability, and user experience. Security measures include bcrypt password hashing, CSRF protection, SQL injection prevention through prepared statements, and comprehensive input validation. This project contributes to the advancement of academic data management by providing an open-source, locally deployable solution that addresses the specific needs of educational institutions in developing regions. By fostering data sharing and collaboration, the platform promotes research transparency, educational resource accessibility, and collaborative learning environments. The successful deployment of this system demonstrates the feasibility of developing sophisticated web applications that combine technical excellence with practical utility in academic settings.

International Journal of Latest Technology in Engineering Management & Applied ScienceVol. 14(8)
Takoradi Technical University (GH)
Openalex Percentile: Top 69%
Data Quality and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.