In the era of big data, technological innovation is increasingly dependent on comprehensive analysis of scientific data. The development of contemporary science and technology presents obvious characteristics of big science and quantitative research. The comprehensive analysis of scientific data with high reliability is itself a way of scientific and technological innovation.
Some scientific research teams also have personnel specializing in the management and application of scientific data, who are responsible for the collection, collation and analysis of scientific data. Massive scientific data have had an impact on scientific research activities of life science, astronomy, space science, earth science, physics and other disciplines, and important changes have taken place in scientific research methods.
At present, China is in a critical period of implementing the innovation-driven development strategy and building a strong country through science and technology. Strengthening and standardizing scientific data management is an important way and means to strengthen China's scientific and technological innovation capacity building and safeguard national security.
Therefore, the introduction of policies and systems to strengthen and standardize the management of scientific data at the national level and promote the open sharing of scientific data is of great significance for serving scientific and technological innovation, enhancing the government's public service capacity and developing the sharing economy.
Extended data:
In view of the low utilization rate of scientific data, the Measures put forward the following three measures:
1, the inventory management system shall be implemented, and the competent department shall organize the compilation of the catalogue of scientific data resources.
2. Encourage researchers to organize the formation of scientific data with clear property rights, integrity and accuracy, and high sharing value.
3. In the process of data sharing, in principle, public welfare undertakings and public scientific research are provided free of charge. If it is really necessary to charge, a reasonable charging standard shall be formulated in accordance with the prescribed procedures and the principle of non-profit; An agreement on the use of data in business activities through negotiation.
References:
People's Network-Scientific data, how to manage it scientifically