凝聚态物质科学科研数据管理与应用  

Management and application of research data in condensed matter science

作　　者：王丹 周明波[1,2] 黄东宸 李云龙 林泽丰[1] 刘俊德 朱天念 竺云 李明星 肖睿娟 袁洁[1,2] 翁红明[1,2] Dan Wang;Mingbo Zhou;Dongchen Huang;Yunlong Li;Zefeng Lin;Junde Liu;Tiannian Zhu;Yun Zhu;Mingxing Li;Ruijuan Xiao;Jie Yuan;Hongming Weng(Beijing National Laboratory for Condensed Matter Physics,Institute of Physics,Chinese Academy of Sciences,Beijing 100190,China;Condensed Matter Physics Data Center,Chinese Academy of Sciences,Beijing 100190,China;Bureau of Frontier Science and Education,Chinese Academy of Sciences,Beijing 100864,China;College of Physics and Materials Science,Tianjin Normal University,Tianjin 300387,China)

机构地区：[1]中国科学院物理研究所,北京凝聚态国家实验室,北京100190 [2]中国科学院凝聚态物质科学数据中心,北京100190 [3]中国科学院前沿科学与教育局,北京100864 [4]天津师范大学物理与材料科学学院,天津300387

出　　处：《科学通报》2024年第9期1164-1174,共11页Chinese Science Bulletin

基　　金：国家重点研发计划(2022YFA1603903,2022YFA1403800,2021YFA0718700,2022YFA1403900);国家自然科学基金(11927808,12225412,52022106,11925408,11921004,12188101,12374141,12274439);国家自然科学基金优秀青年科学基金(T2222028);中国科学院B类战略性先导科技专项(XDB33000000,XDB25000000);中国科学院网络安全和信息化专项(CASWX2021SF-0102)资助。

摘　　要：大数据已经以不可阻挡的脚步踏入了社会生活,大到国家范围流行病趋势的准确预测[1]、纳斯达克上市公司市值估算(http://busmiamiedu/umbfc/common/files/papers/Karabulutpdf);小到机票最佳购买时机的选择[2]、出行自动导航等[3].作为一种新的技术,大数据已对人们的生活、生产带来了深远的变革性影响[4,5].Massive amounts of data,dramatically growing computing power,and the development of the digital economy continue to give rise to data science.The rapid development in technologies,such as machine learning,artificial intelligence,and blockchain,has enhanced this trend.Data have become a new factor of production,bringing revolutionary changes to people’s lives and production techniques.In this context,scientific research has also begun to shift towards a new datadriven paradigm,using massive amounts of data as a basis to reveal the correlations hidden behind them,thereby adding new dimensions and perspectives to existing conventional research.Recently,data-based technologies,such as artificial intelligence,which are based on Big Data,have been gradually involved in scientific research.These technologies are used for integrating theory,computation,and experimental measurements,injecting new direction and impetus into scientific research.For example,algorithms such as random forests and neural networks have become commonly used data processing and analysis tools in materials science and achieved remarkable results in predicting properties,phase diagrams,and structures.Traditional scientific research methods often rely on specific theoretical assumptions and experimental designs,while data-driven scientific research focuses on obtaining knowledge and insights from data.By mining hidden correlations and patterns from massive amounts of data,researchers can conduct exploratory studies,discover new research directions and questions,expand the boundaries of research fields,and bring novel insights and breakthroughs to their research.Due to the importance of data,higher requirements for data management and utilization are demanded in scientific research.Currently,scientific research data is hindered by diverse formats,fragmented distribution,and inconsistent quality,causing data to remain inside the laboratory;this results in the wastage of scientific research resources and declination in the development of scientific re

关 键 词：上市公司市值 纳斯达克 数据管理与应用 凝聚态物质 自动导航 大数据 变革性 

分 类 号：O469[理学—凝聚态物理]