如何公平是VIS?
IEEE computer graphics and applications
|April 14, 2025
概括
可查找,可访问,可互操作和可重复使用 (FAIR) 原则对于科学数据至关重要. 本研究通过检查其他领域的成功实现来探索将FAIR原则集成到可视化社区中.
科学领域:
- 数据科学数据科学数据科学
- 科学可视化科学可视化
- 信息管理 信息管理
背景情况:
- 可查找,可访问,可互操作和可重复使用 (FAIR) 原则在科学学科中被广泛采用,以实现可靠的数据管理.
- 虽然许多领域强制要求FAIR原则,但科学可视化社区正在积极开发实施它们的策略.
- 现有研究强调了FAIR数据对可重复性和科学努力中的合作的重要性.
研究的目的:
- 检查可视化社区和FAIR数据原则的交叉点.
- 在其他科学学科中确定FAIR原则的成功实施.
- 为在可视化领域采用 FAIR 原则提出可行的建议.
主要方法:
- 对FAIR数据原则及其在各种科学领域的应用进行文献综述.
- 对已成功整合FAIR原则的学科进行案例研究分析.
- 进行比较分析,以确定可用于可视化社区的可转移策略.
主要成果:
- 在其他领域成功采用FAIR原则,为可视化提供可转移的模型.
- 在可视化中实现FAIR数据的关键挑战和机会被确定.
- 研究了增强可查数据,可访问性和可在可视化中重复使用性的具体策略.
结论:
- 将FAIR原则集成到可视化社区中是可行的和有益的.
- 采用FAIR原则可以提高科学可视化的严谨性和影响力.
- 建议进行进一步的研究和社区参与,以便在可视化中充分实现FAIR数据.
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