数据科学包括：
- 基础理论研究。科学的基础是观察和逻辑推理，同样要研究数据自然界中观察方法，要研究数据推理的理论和方法，包括：数据的存在性、数据测度、时间、数据代数、数据相似性与簇论、数据分类与数据百科全书等。
- 实验和逻辑推理方法研究。需要建立数据科学的实验方法，需要建立许多科学假说和理论体系，并通过这些实验方法和理论体系开展数据自然界的探索研究，从而认识数据的各种类型、状态、属性及变化形式和变化规律，揭示自然界和人类行为现象和规律。
- 领域数据学研究。将数据学的理论和方法应用于许多领域，从而形成专门领域的数据学，例如：脑数据学、行为数据学、生物数据学、气象数据学、金融数据学、地理数据学等等。
- 数据资源的开发利用方法和技术研究。数据资源是重要的现代战略资源，其重要程度将越来越凸显，在本世纪有可能超过石油、煤炭、矿产，成为最重要的人类资源之一。这是因为人类的社会、政治和经济都将依赖于数据资源，而石油、煤炭、矿产等资源的勘探、开采、运输、加工、产品销售等等无一不是依赖数据资源的，离开了数据资源，这些工作都将无法开展。
Data science includes:
- Basic theoretical research. The basis of science is observation and logical reasoning. It is also necessary to study the observation methods in the natural world of data, and the theories and methods of data reasoning, including: data existence, data measurement, time, data algebra, data similarity and cluster theory, data Classification and data encyclopedia, etc.
- Research on experimental and logical reasoning methods. Data science experimental methods need to be established, many scientific hypotheses and theoretical systems need to be established, and exploratory research on the nature of data is carried out through these experimental methods and theoretical systems, so as to understand the various types, states, attributes, and changing forms and laws of data. Reveal the phenomena and laws of nature and human behavior.
- Field data research. The theories and methods of data science are applied to many fields to form data science in specialized fields, such as: brain data science, behavior data science, biodata science, meteorological data science, financial data science, geographic data science and so on.
- Research on methods and technologies for the development and utilization of data resources. Data resources are important modern strategic resources, and their importance will become more and more prominent. In this century, they may surpass oil, coal, and minerals to become one of the most important human resources. This is because human society, politics, and economy will all depend on data resources, and the exploration, mining, transportation, processing, product sales, etc. of oil, coal, minerals and other resources will all rely on data resources, leaving them alone. , These tasks will not be carried out.
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