Exploring Data Sharing in Medical and Health Sciences through Mega Journals

ABSTRACT This work‐in‐progress study examines how researchers in medical and health sciences engage in data sharing, focusing on Data Availability Statements (DAS) from articles published in three mega journals indexed in PubMed Central. Preliminary results reveal a variety of DAS categories, each reflecting a distinct approach to sharing research data. The distribution of these types was broadly similar between articles with and without Korean‐affiliated authors. This study could contribute to understanding how data sharing practices are evolving in medical and health research and highlights opportunities to better align global norms with national‐level practices.

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Publication Details

Journal
Proceedings of the Association for Information Science and Technology
Published
2025-10-01
DOI
https://doi.org/10.1002/pra2.1485
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
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article

Exploring Data Sharing in Medical and Health Sciences through Mega Journals

Proceedings of the Association for Information Science and Technology
Research Data Management Practices
article

Exploring Data Sharing in Medical and Health Sciences through Mega Journals

article en

Abstract

ABSTRACT This work‐in‐progress study examines how researchers in medical and health sciences engage in data sharing, focusing on Data Availability Statements (DAS) from articles published in three mega journals indexed in PubMed Central. Preliminary results reveal a variety of DAS categories, each reflecting a distinct approach to sharing research data. The distribution of these types was broadly similar between articles with and without Korean‐affiliated authors. This study could contribute to understanding how data sharing practices are evolving in medical and health research and highlights opportunities to better align global norms with national‐level practices.

Proceedings of the Association for Information Science and TechnologyVol. 62(1)
Sungkyunkwan University (KR)
Openalex Percentile: Top 33%
Research Data Management Practices
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