Research On Metadata Quality Evaluation Of Forestry Open Government Data

Forestry open government data metadata quality evaluation can scientifically measure the output and effect of data opening,establish a timely and effective quality feedback mechanism,and further enhance the value of forestry open government data.At present,China's forestry open government data platforms have poor quality,such as single format,difficult to download and reuse and other quality problems.Metadata is an important attribute describing the source and background of open platform data resources,and its quality will directly affect the open quality and effect of the open platform.This paper proposes the “generation-open-use” life cycle model of forestry open government data,and constructs a metadata framework for forestry open government data reflecting the three aspects of “description-management-use”;based on the metadata structure and records,from the horizontal and vertical dimensions,namely the data "form-content-utility" quality level and the "generation-open-use" life cycle stage,constructs a forestry open government data metadata quality evaluation framework,including evaluation indicators and their quantitative methods;realizes the automatic evaluation system of forestry open government data metadata quality,take 5 forestry open government data platforms between the United-States and China as the research objects,and completes automatic quality evaluation according to the five-step process of "data source-basic data-index calculation-data warehousevisualization",the results show that the metadata elements of the United States are more comprehensive,and China needs to improve the openness and expectations.The system can achieve automatic acquisition,real-time monitoring and regular evaluation of forestry open government data metadata quality,and provide reference for improving the quality of open forestry government data in China.