Traditional Culture Encyclopedia - Traditional customs - How to comprehensively grasp the problem of rural governance?
How to comprehensively grasp the problem of rural governance?
List:
1: First of all, we must establish big data thinking and promote the scientific and standardized development of rural governance. It has become an inevitable trend of modern society to improve the level of rural governance and promote the modernization of rural governance in the era of big data. Therefore, all governance subjects should change from traditional management thinking to data governance thinking, and form a data thinking consciousness of "speaking with data, managing with data, making decisions with data, and innovating with data". On the basis of enjoying big data, it is necessary to adapt to the living needs of the broad masses of the people, so that every household can participate in politics and make suggestions anytime and anywhere.
2. Secondly, build a talent system to promote the development of rural governance talents. On the one hand, our grass-roots government should strengthen the introduction of talents, on the other hand, it can provide specialized and targeted professional training for rural governance talents through cooperation with relevant universities, and cultivate a backbone team with strong professional ability and data processing technology, so that they can carry out their work smoothly and give full play to the data analysis ability of rural grass-roots data analysts. Improving the quality of rural governance subjects is the key factor to promote the development of endogenous power of rural governance.
3. Relevant departments should speed up data legislation to protect the interests of rural governance subjects. At the national and local levels, data legislation should be established and improved as soon as possible, and the ownership of data should be clarified through legislation, and the boundary between people's right to know and participate should be clarified to avoid subject disputes or data leakage in the process of data sharing and application.
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