With the implementation of various data security laws and regulations centered on privacy protection, and the emergence of new governance factors such as data sovereignty, technological competition, and geopolitics, the requirements fo...

In recent years, increasing data security regulations have posed significant compliance challenges for scientific data management. Data classification and grading for protection has become a focal point for academia, practitioners, and...

Omics big data is a significant foundational and strategic resource for the country, which plays an important role in supporting the basic research and application innovation of life sciences, promoting the innovative development of bi...

The current agricultural production model in China is transitioning from traditional to smart agriculture. In response to the continuous expansion of data scale in various agricultural organizations and the problem of "Data Silos" in d...

Open research data is a necessary component of open science. But balancing the open sharing with security protection represents a significant challenge in the practices. Data repository, as a primary support digital infrastructure for ...

National scientific data is the core element of the development of new quality productive forces in the new era. Promoting the development of scientific data factors is conducive to improving the resilience and security level of China'...

The vigorous development of scientific data center makes its performance evaluation gradually become a research hotspot. By systematically combing the relevant achievements of scientific data center evaluation in China in the past 10 y...

In the context of the rapid development of informatization, intelligent agriculture is an inevitable trend in agricultural development, and agricultural big data plays an important role in the realization of intelligent agriculture. Al...

With the rapid progress of science and technology, the research in the field of forestry and grassland increasingly relies on big data and advanced information technology. However, this trend also brings with it a large amount of sensi...

With the development and application of artificial intelligence, computer vision, deep learning and other science and technology in the field of agriculture, the data-driven deep learning model for agriculture has become a new research...

With the proliferation of the internet, accessing agricultural knowledge and information has become more convenient. However, this information is often static and generic, failing to provide tailored solutions for specific situations. ...

The library HCPS consists of human, cyber system and physical system. To study the connotation of HCPS and the relationship between each component is helpful to find out the direction for the development of library. Through the analysi...