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相关概念视频

Archival Research01:40

Archival Research

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Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
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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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Data Collection by Observations01:08

Data Collection by Observations

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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.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
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Ethics in Research01:56

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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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Case Studies01:22

Case Studies

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There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
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Updated: May 15, 2025

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains
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使用数字数据捐赠研究的最佳实践.

Thijs C Carrière1, Laura Boeschoten1, Bella Struminskaya1

  • 1Department of Methodology and Statistics, Utrecht University, Utrecht, The Netherlands.

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此摘要是机器生成的。

数据捐赠使研究人员能够在参与者的同意下道德地收集数字痕迹数据. 本文介绍了一个强大的工作流程,以指导研究人员建立成功的数据捐赠研究.

关键词:
数据捐赠的数据捐赠.数据质量数据质量数据质量数字追踪数据是指数字追踪数据.当地加工 当地加工保护隐私 保护隐私 保护隐私

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科学领域:

  • 社会科学 社会科学 社会科学
  • 数字人文学科 数字人文学科
  • 数据伦理数据伦理

背景情况:

  • 数字追踪数据是社会科学和人文学科研究的一个有价值的,不断扩大的资源.
  • 数据捐赠是获得这些数据的创新和道德方法.
  • 欧盟的"一般数据保护条例"要求平台向用户提供其数据的副本.

研究的目的:

  • 引入一个全面的工作流程,建立可靠的数据捐赠研究.
  • 为旨在进行数据捐赠研究的研究人员提供实际指导方针.
  • 通过基于已识别的错误来源和实际经验来解决潜在的质量问题.

主要方法:

  • 基于数据捐赠的总错误框架开发工作流程.
  • 从以前的数据捐赠研究中吸收实际见解.
  • 详细讨论工作流中的每个步骤,突出挑战和考虑因素.

主要成果:

  • 一个结构化的工作流程,旨在提高数据捐赠研究的质量和稳定性.
  • 识别数据捐赠过程中的关键步骤和潜在陷.
  • 为研究人员导航建立和执行数据捐赠研究的复杂性.

结论:

  • 拟议的工作流为进行数据捐赠研究的研究人员提供了基础资源.
  • 坚持工作流程可以减轻风险,提高数字追踪数据收集的可靠性.
  • 这种方法促进了使用参与者同意的数字追踪数据进行道德和有效的研究.