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Scientific data management policy plays an important role in standardizing data management and promoting scientific research innovation. The quantitative analysis of the current policy is helpful to provide reference for the formulation and improvement of relevant policies in the future. A four-dimensional analysis framework covering policy objectives, policy tools, policy themes and governance fields was constructed, and a variety of text analysis methods were comprehensively adopted to carry out a cross-dimensional and multi-dimensional comparative analysis of relevant policy texts. The results show that China has established a relatively perfect scientific data management policy system, but there is still room for improvement. In the future, policy objectives can be further optimized, policy contents can be refined, the design of implementation supervision mechanism can be strengthened, the application of demand-oriented policy tools and the synergy of policy tools can be enhanced.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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