Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Synthetic Biology02:55

Synthetic Biology

4.4K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
4.4K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

627
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,...
627

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Accounting for cross-registration in monitoring transparency in clinical trials: a cross-sectional study of trials at German university medical centres.

BMJ open·2026
Same author

Use as directed? A comparison of software tools intended to check rigor and transparency of published work.

PloS one·2026
Same author

Registration and reporting of clinical trials affiliated with California universities and with primary completion date from 2014 to 2017.

Trials·2025
Same author

Understanding the provenance and quality of methods is essential for responsible reuse of FAIR data.

Nature medicine·2024
Same author

Serial reversal learning in nectar-feeding bats.

Animal cognition·2024
Same author

Two-dimensional reward evaluation in mice.

Animal cognition·2021

相关实验视频

Updated: Apr 30, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

15.9K

检测生物医学产品的工作流程,其基础是开放和受限制访问的数据集.

Anastasiia Iarkaeva1, Vladislav Nachev1, Evgeny Bobrov1

  • 1QUEST Center for Responsible Research, Berlin Institute of Health (BIH) at Charité -Universitätsmedizin Berlin, Berlin, Germany.

PloS one
|May 8, 2024
PubMed
概括

我们开发了一种经过验证的半自动化工作流程,用于监控生物医学文章中的研究数据共享. 该方法可靠地识别开放和受限制访问的数据,帮助机构和资助者监测工作.

科学领域:

  • 生物医学研究生物医学研究
  • 超级研究的研究.
  • 数据科学数据科学数据科学

背景情况:

  • 对机构和资助者来说,监测研究数据共享至关重要.
  • 现有的用于数据共享检测的自动化工具在定义和范围上有局限性.
  • 以前的手动验证研究是基于小样本大小的.

研究的目的:

  • 开发和验证一个全面的,半自动化工作流程,用于检测生物医学出版物中共享的研究数据.
  • 建立详细的标准和工作流程,结合自动化和手动步骤来选开放和限制访问数据.
  • 为内部激励计划和机构监控仪表板提供可靠的数据.

主要方法:

  • 制定了研究数据共享的详细选标准.
  • 实施了一种工作流程,将自动选与手动验证相结合.
  • 使用两个独立样本验证了选程序,实现了高的评价者间可靠性 (克里多夫α ≥0.8).
  • 选了 11,035 篇生物医学研究文章,其中 1,381 篇文章正在进行手动审查以进行潜在的数据共享.

主要成果:

  • 开发的工作流程在检测共享研究数据方面表现出高可靠性.
  • 在2021年的机构样本中,7.8%的文章公开共享了基础数据.

更多相关视频

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

31.3K
Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

9.0K

相关实验视频

Last Updated: Apr 30, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

15.9K
Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

31.3K
Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

9.0K
  • 另外1.0%的文章共享限制访问数据,共计8.3%的文章共享开放和/或限制访问数据.
  • 报道了机构和一个独立的元研究样本的查结果.

    • 结论:

    • 提出的工作流是一个全面和验证的方法,用于识别生物医学出版物中共享的研究数据.
    • 工作流程有效地结合了自动化和手动流程,以考虑开放和受限制访问数据.
    • 该方法可适应各种环境,具有未来开发和应用的潜力.