ジャーナルのデータ共有政策とその出版物への影響:横断的な研究プロトコル
Pinge Zhao1, Xin Zhang1, Liandi Dai1
1The Affiliated Brain Hospital, Guangzhou Medical University, Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, People's Republic of China.
PloS one
|September 2, 2025
まとめ
責任ある臨床研究データの共有は透明性と再現性を向上させる. この研究は,ICMJEのデータ共有声明のようなイニシアチブにもかかわらず,ジャーナル政策がデータ利用可能性にどのように影響するか検討しています.
科学分野:
- 臨床研究
- 生物医学情報学
- 学術 出版
背景:
- 責任あるデータ共有は臨床研究の透明性と再現性を高めます
- ICMJEのデータ共有声明 (DSS) は2024年以降,5,000以上のジャーナルで採用されている.
- 努力の共有と限られた学術的なインセンティブのために,最適でないデータ利用が継続しています.
研究 の 目的:
- 生物医学雑誌の政策が臨床研究データの利用可能性に与える影響を調査する.
- 出版物におけるデータ共有の実施にどのような影響を与えるかを探求する.
主な方法:
- 2023年のジャーナルインパクトファクター (JIF) によって層分かれ,303の生物医学誌の横断的な研究.
- ジャーナル・ポリシーの独立したデータ抽出と出版データ共有の詳細 (2025年4月~12月)
- データ共有レベルに影響を与えるジャーナル要因を特定するための二項式ロジスティック回帰.
主要な成果:
- データ共有のレベルは,データ共有メカニズムの開放性に基づいて評価されます.
- 分析は,公表データ共有の実施に影響を与える要因を決定することを目的としています.
- オープンサイエンス・フレームワーク (OSF) レジストリに登録されたプロトコル.
結論:
- ジャーナルのポリシーと利用可能な情報は,データ共有を促進するために不可欠です.
- データ共有の障壁を取り除くことは,研究価値を最大化するために不可欠です.
- 臨床出版物におけるデータの可用性を改善するための戦略をさらに研究すればよい.
関連する概念動画
Study Designs in Epidemiology
410
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
410
Cross-reactivity
31.5K
Overview
31.5K
Cross-Sectional Research
11.8K
In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
11.8K
Study Design in Statistics
8.5K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
8.5K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
174
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
174
The Scientific Method
244.2K
The scientific method is a detailed, empirical problem-solving process used by biologists and other scientists. This iterative approach involves formulating a question based on observation, developing a testable potential explanation for the observation (called a hypothesis), making and testing predictions based on the hypothesis, and using the findings to create new hypotheses and predictions.
Generally, predictions are tested using carefully-designed experiments. Based on the outcome of these...
Generally, predictions are tested using carefully-designed experiments. Based on the outcome of these...
244.2K


