Related Experiment Video
Updated: Jul 13, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
Longitudinal dataset of journal data sharing policies across 22 disciplines for 2014 2019 and 2023
1Department of English Language and Literature, Faculty of Language and Literature, Bunkyo University, Koshigaya, Japan. ikeuchi@bunkyo.ac.jp.
Abstract:
This dataset documents journal data sharing policies across 22 disciplines for 2014 2019 and 2023. A total of 220 high-impact journals were surveyed, representing the top ten journals (by Impact Factor) from each discipline listed in the Essential Science Indicators. For each journal, policies concerning two types of data sharing were reviewed: repository-based data sharing and supplementary materials. Policy requirements were classified into four categories based on their strength: require, recommend, accept, or no policy. Data were collected at three time points through systematic reviews of journal websites and submission guidelines. The dataset includes journal metadata-such as publishers, ISSN, and Impact Factor-along with detailed policy descriptions and classifications. This longitudinal dataset provides evidence of changes in data sharing requirements over time and enables comparative studies of journal policies. These data may be useful for research on open science practices, the development of science policy, and the evolution of scholarly publishing standards.
More Related Videos
13:44Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
07:50Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
Published on: April 18, 2025
Related Concept Videos
Long-term Depression
Biodiversity and Human Values
Longitudinal Research
Cross-Sectional Research
Genomics
Longitudinal Studies