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相关概念视频

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Ethics in Research

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Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
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Social psychology is a scientific discipline dedicated to understanding how individuals think, feel, and behave in social contexts. Unlike common sense, which relies on anecdotal experiences and intuition, social psychology employs systematic research and empirical methods to ensure objectivity and reliability. This distinction is fundamental in distinguishing scientifically supported findings from mere speculation.Four fundamental scientific values guide a structured approach to research in...
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Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
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Updated: Nov 18, 2025

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
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一个"数据共享信任"模型,用于快速的协作科学

Vincent Chan1, Pier Federico Gherardini2, Matthew F Krummel3

  • 1Department of Microbiology and Immunology, University of California, San Francisco, 513 Parnassus Ave, San Francisco, CA 94143-0511, USA; Department of Pathology, University of California, San Francisco, 513 Parnassus Ave, San Francisco, CA 94143-0511, USA; ImmunoX Initiative, Department of Microbiology and Immunology, University of California, San Francisco, 513 Parnassus Ave, San Francisco, CA 94143-0511, USA.

Cell
|February 5, 2021
PubMed
概括
此摘要是机器生成的。

复杂的数据集提供了新的发现. 我们推出"数据共享信任"来改善数据共享和管理,最大限度地提高大型数据集的价值.

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科学领域:

  • 数据科学
  • 信息管理
  • 科学发现

背景情况:

  • 大数据集有潜力产生超出其原始研究范围的新见解.
  • 有效的数据共享和管理对于释放这一潜力至关重要.
  • 实施强有力的数据共享实践具有挑战性,尤其是在发布前.

研究的目的:

  • 引入一个新的框架",数据共享信任",旨在增强复杂数据集的实用性.
  • 解决与有效和快速的数据共享和管理相关的挑战.
  • 为了最大限度地利用大规模的科学数据.

主要方法:

  • 一个数据共享信托的概念框架的开发.
  • 分析现有的数据共享和管理障碍.
  • 建议在科学研究中实施信任战略.

主要成果:

  • "数据共享信任"概念为数据管理提供了一个结构化的方法.
  • 这一框架促进了主动的数据共享,超越了传统的发布后访问.
  • 它旨在提高复杂数据集的可访问性和可重复使用性.

结论:

  • 数据共享信托是增强大数据集价值的可行机制.
  • 通过提高数据可访问性,实施这种信托可以加速科学发现.
  • 这种方法对于在研究中充分发挥复杂数据的潜力至关重要.