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相关概念视频

Ethics in Research01:56

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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Data Collection by Experiments01:13

Data Collection by Experiments

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Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
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What is an Experiment?01:12

What is an Experiment?

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An experiment is a planned activity carried out under controlled conditions. The purpose of an experiment is to investigate the relationship between two variables. When one variable causes change in another, we call the first variable the explanatory or independent variable. The affected variable is called the response or dependent variable. In a randomized experiment, the researcher manipulates values of the explanatory variable and measures the resulting changes in the response variable. The...
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Controls in Experiments01:13

Controls in Experiments

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When conducting an experiment, it is crucial to have control to reduce bias and accurately measure the dependent variables. It also marks the results more reliable. Controls are elements in an experiment that have the same characteristics as the treatment groups but are not affected by the independent variable. By sorting these data into control and experimental conditions, the relationship between the dependent and independent variables can be drawn. A randomized experiment always includes a...
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Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

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Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
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相关实验视频

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In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
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In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

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在实验生物学中推进数据诚实.

Shahar Dubiner1, Matan Arbel-Groissman2

  • 1School of Zoology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv 6997801, Israel.

The Journal of experimental biology
|April 30, 2024
PubMed
概括

科学数据的伪造是一个重大问题. 开发一种不可修改的原始数据格式可以通过允许数据验证和跟踪变化来提高研究完整性,从而促进诚实的科学.

科学领域:

  • 实验生物学实验生物学是什么
  • 科学研究的完整性 科学研究的完整性

背景情况:

  • 科学数据的伪造,特别是原始数据,是学术界普遍存在的问题.
  • 目前的系统鼓励公布积极的结果,往往以牺牲严格的方法和数据诚实为代价.
  • 现有的数据共享和透明度解决方案没有解决原始数据中根本无法检测不诚实行为的问题.

研究的目的:

  • 提出一种用于检测科学数据伪造的新解决方案.
  • 引入一个不可修改的原始数据格式的概念,用于增强数据身份验证.
  • 建议一个跟踪数据修改的工具,帮助检测错误和操纵.

主要方法:

  • 一个不可修改的原始数据格式的概念建议.
  • 讨论数据身份验证和变更跟踪的功能.
  • 探索可选的作者提交认证数据的探索.

主要成果:

  • 拟议的格式将使数据从收集点进行身份验证.
  • 变更跟踪将允许审稿人和读者跟踪数据修改.
  • 可选提交经过验证的数据可以作为数据完整性的"诚实信号".

结论:

关键词:
最佳实践是最好的实践.数据完整性数据完整性数据操纵 数据操纵欺诈 欺诈 欺诈 欺诈 欺诈可复制性 可复制性科学不当行为科学不当行为

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  • 一种不可修改的原始数据格式可以显著提高科学研究中的数据诚实性.
  • 这种工具将通过提高透明度和问责制来鼓励更可靠的科学.
  • 该工具的可选性尊重作者选择,同时鼓励完整性.