数据管:用于在线实验的开放式数据收集
1Department of Cognitive Science, Vassar College, Poughkeepsie, NY, USA. jdeleeuw@vassar.edu.
Behavior research methods
|June 20, 2023
概括
数据管是一个免费的开源工具,使研究人员能够直接将行为实验数据保存到开放科学框架中. 这有助于建立开放式数据收集实践,以提高研究透明度和可访问性.
科学领域:
- 行为科学 行为科学
- 开放科学实践 开放科学实践
- 研究方法研究方法研究方法学
背景情况:
- 在行为实验中的传统数据管理可能是繁的.
- 直接将数据保存到像开放科学框架这样的存储库通常是具有挑战性的.
- 缺乏可访问的工具阻碍了采用开放数据实践.
研究的目的:
- 介绍DataPipe,这是一个用于无数据传输的新工具.
- 描述DataPipe的设计和功能.
- 强调DataPipe在促进开放式数据收集方面的作用.
主要方法:
- 数据管使用基于Web的配置接口.
- 一个应用程序编程接口 (API) 便于数据传输.
- 来自实验的数据直接发送到开放科学框架.
主要成果:
- 数据管提供了一个用户友好的方法来配置数据存储.
- 该工具可以直接,实时地将数据保存到开放科学框架.
- 它支持从任何连接到互联网的实验设置收集数据.
结论:
- 数据管简化了开放数据收集的过程.
- 该工具使研究人员能够采用天生的开放数据实践.
- 数据管是研究界的一个有价值的,免费的,开源的资源.
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