Earth system science is an interdisciplinary research area at the frontier of interaction and change mechanisms between the earth's spheres. The research area has accumulated scientific data resources through long-term research on global environme...

This paper presents models of the development, management, evolution of national science data center systems in the United States, the United Kingdom， and China. Our methods include network research and literature analysis to analyze the construct...

Space science is a discipline that focuses on the solution to basic but significant problems and research, such as the origin and evolution of the universe and human life or the relationship between the solar system and human beings. It is a quick...

Following science and technology advances, astronomy research has entered a data-intensive and data-driven era. While it faces demands and challenges in the archiving, preservation, exchanging, data mining, and open access of massive astronomical ...

Scientific data is not only a strategic resource for scientific and technological innovation, economic development and national security, but also an important basis for governmental policy formation and scientific decision-making. China's grassla...

Agricultural big data has been applied in crop cultivation, field precise management, intelligent management and control, meteorological analysis, yield prediction, agricultural production decision-making, and a wide range of other applications. B...

In the paradigm of data-intensive scientific research, the use of scientific data has become a valuable academic resource in society and an important strategic resource for technological innovation and competition. Scientific data management has a...

As agricultural production, management, operations, and services enter the big data era, standardization is becoming increasingly important in ensuring the comparability between the collected results generated by diverse devices and instruments, c...

Data-intensive research is emerging as a new paradigm for science discovery in the era of big data, and the use of open data has become common in the scientific community. Over time, different models of scientific data sharing have emerged, includ...