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Shandong releases provincial standards of land and resources data

2017/10/10 16:53:26   source:Sdchina.com

Shandong has released two provincial standards of land and resources recently, the first of its kind in the country, according to the news conference held this morning. One is the Standard of the Service Catalogue System of Land and Resources Data and the other is the Standard of Cadastral Data Loading Quality Control. The implementation of the two standards will be helpful in improving the standardization and reliability of land and resources data sharing service and enhancing the application level of land and resources big data.

Deputy Director-General of Shandong Department of Land and Resources, Li Shumin, said that the first standard can make the data retrieval and access more reliable and ensure the service quality of data sharing. For example, the formats, names and codes of land use status data vary from city to city, hindering the data application and service. However, the Standard of the Service Catalogue System of Land and Resources Data can help to fix these issues. Moreover, the uniqueness of provincial data service can be realized by establishing a unified service catalogue system of provincial land and resources data.

The second standard, namely the Standard of Cadastral Data Loading Quality Control, can carry out the quality control for the cadastral data input in the process of the management and application of land and resources data. Otherwise, a series of problems on data pattern spotting will emerge, such as the changes in position, the loss of attributes, and even the loss of the pattern spot. But with the new standard coming into force, all these issues can be avoided.

The implementation of the twin standards contributes to improving the application level of land and resources big data. The standardization of the quality and service catalogue of land and resources data is the key sector in the application of the big data. The two standards will help to ensure the quality of the land and resources data, create a unified, open and shareable data catalogue, and provide a model for the application of the land and resources big data.

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Sponsor:Information Office of Shandong Provincial People’s Government