New rural cooperative medical system in Qinghai Province (2006-2013)- A Big Earth Data Platform for Three Poles

The data set records the new rural cooperative medical system in Qinghai Province from 2006 to 2013, and the data is divided by year. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. The data set includes 8 tables, which are: new rural cooperative medical system (2006) 2007.xls, new rural cooperative medical system 2006-2007.xls, new rural cooperative medical system 2006-2008.xls, new rural cooperative medical system 2006-2009.xls, new rural cooperative medical system 2006-2010.xls, new rural cooperative medical system 2006-2011.xls, new rural cooperative medical system 2006-2011.xls The situation of rural cooperative medical system in 2006-2012.xls, the situation of new rural cooperative medical system in 2008-2013.xls. The data table structure is the same. For example, the data table in 2007 has 10 fields:

Field 1: Project

Field 2: province total

Field 3: Xining City

Field 4: Haidong region

Field 5: Haibei Prefecture

6: Huangzhou field

Field 7: Hainan

Field 8: Golog

Field 9: Yushu prefecture

Field 10: Haixi

File naming and required software

The data set is stored in Excel format, including 8 worksheets, which are in the order of 20062006-20072006-20082006-20092006-20102006-20112006-20122008-2013. Data files can be opened with office software or imported into relational database system. The main units involved in the data table are individuals and people.

Data Citations Data citation guideline What's data citation?

Cite as:

Qinghai Provincial Bureau of Statistics. (2021). New rural cooperative medical system in Qinghai Province (2006-2013). A Big Earth Data Platform for Three Poles, (Download the reference： RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)