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FAIR数据为材料研究提供了新的视野

Matthias Scheffler^1,2, Martin Aeschlimann³, Martin Albrecht⁴

¹Physics Department and IRIS Adlershof, Humboldt-Universität zu Berlin, Berlin, Germany.

|April 28, 2022

概括

让研究数据可查找,可访问,可互操作和可重复使用 (FAIR) 对于推进材料科学至关重要. 为人工智能 (AI) 分析准备数据将改变科学发现.

科学领域:

凝聚物质物理
材料科学
化学学

背景情况:

社会进步依赖于材料科学的进步,影响能源,健康和IT领域.
每天都会产生大量的研究数据,
目前的数据实践限制了这些研究数据的实用性,阻碍了知识提取.

研究的目的:

讨论材料科学需要一个FAIR数据基础设施.
探索如何将原始研究数据转化为有价值的知识.
准备材料科学领域使用人工智能进行数据驱动的发现.

主要方法:

讨论FAIR数据管理的原则.
突出数据分析和人工智能的作用.
提出材料科学数据"可查找和AI准备"的策略.

主要成果:

FAIR数据基础设施对于释放研究数据的价值至关重要.
数据分析和人工智能可以将研究数据精制成可操作的知识.
未来的科学工作需要采取积极的数据准备方法.

结论:

实施FAIR数据原则对于材料科学创新至关重要.
让数据"可查找和人工智能准备就绪"将彻底改变科学研究.
该领域必须适应以数据为中心的新方法来继续进步.

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