数据注:数字卢德梅项目数据库
Cameron Browne1, Matthew Stephenson1, Walter Crist1
1Maastricht University, Maastricht, Limburg, The Netherlands.
Open research Europe
|March 29, 2024
概括
数字Ludeme项目收集和格式化历史游戏数据用于计算分析. 该资源增强了对人类历史上游戏开发的理解,并坚持公平的数据原则.
科学领域:
- 数字人文学科 数字人文学科
- 计算历史 计算历史
- 游戏研究 游戏研究
背景情况:
- 了解游戏的历史发展对于文化和社会研究至关重要.
- 现有的历史游戏数据通常是碎片化的,难以用于计算分析.
研究的目的:
- 概述数字Ludeme项目的数据收集,格式,存储和访问程序.
- 为历史游戏研究建立一个全面和可访问的数据集.
- 确保数据管理符合公平指导原则.
主要方法:
- 对历史游戏数据的计算分析.
- 系统的数据收集和格式化协议.
- 为科学数据管理实施FAIR数据原则.
主要成果:
- 已经建立了一个用于收集和管理历史游戏数据的结构化框架.
- 全球研究人员的数据可访问性已成为优先事项.
- 该项目确保数据可查找,可访问,可互操作和可重复使用 (FAIR).
结论:
- 数字卢德梅项目为历史游戏研究提供了有价值的,管理良好的数据资源.
- 遵守公平原则可确保收集数据的长期效用和影响.
- 这一举措显著推进了游戏历史的计算分析.
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