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    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.