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ACAPRS Journal Dataset
Dataset Title: Academic Press Network: Bridging Arab Academia for Students and Lecturers
Author: HASSAN ALBAITI
Contact Information: albaiti@acaprs.net
Date: 22/2/2024
Description:
This dataset accompanies the research article titled "Academic Press Network: Bridging Arab Academia for Students and Lecturers" published in the ACAPRS Journal. The dataset provides supplementary information and resources related to the study, including key findings, data sources, and analysis.
Files Included:
1. Manuscript.pdf: The full text of the research article published in the ACAPRS Journal.
2. Dataset.xlsx: An Excel spreadsheet containing supplementary data and findings from the study, organized into tables and charts.
3. README.md: This README file providing information on how to interpret and use the dataset.
Abbreviations and Codes:
N/A
File Descriptions:
1. Manuscript.pdf: This file contains the complete text of the research article, including the abstract, introduction, methodology, results, discussion, and conclusion sections. It provides detailed insights into the Academic Press Network and its impact on Arab academia.
2. Dataset.xlsx: This Excel spreadsheet includes supplementary data and findings from the study, presented in tables and charts. It covers key aspects of the Academic Press Network, including its role in student empowerment, lecturer development, and scholarly communication within Arab academia.
Software Requirements:
To access and view the Manuscript.pdf file, a PDF reader such as Adobe Acrobat Reader is required.
To open and manipulate the Dataset.xlsx file, Microsoft Excel or similar spreadsheet software is recommended.
Usage:
Researchers and scholars interested in Arab academia, higher education, scholarly communication, and digital technology can use this dataset to gain insights into the Academic Press Network and its impact on students and lecturers in the Arab world. The dataset can be used for further analysis, validation, and research in related fields.
License:
This dataset is made available under the Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license. Users are free to download, use, and modify the dataset for non-commercial purposes, provided proper attribution is given to the author(s) and the source of the dataset is acknowledged. Any derivative works based on this dataset must be licensed under the same terms. Commercial use of the dataset requires explicit permission from the author(s).
Acknowledgments:
We acknowledge the support and contributions of HBECS organization.