Constructing an Evaluation Indicator System for Government Data Quality
Vol: 3, Issue: 3, Page: 17
2021
- 19Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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Artifact Description
[Purpose/significance]Due to various problems found in current government data quality,it is necessary to build an effective quality evaluation index for government data.[Method/process]Literature on government data were comprehensively analyzed,and the indicators for data quality evaluation were identified,and clustered into three dimensions.Then the weights of each dimension and indicator were determined with AHP method.[Result/conclusion]An evaluation indicator system for government data quality that includes three dimensions of data source,data set and data environment and 15 indicators including reliability,normalization,authenticity,accuracy,and adaptability has been constructed.Its usability was tested with the open government data of Shanghai and Zhejiang province. On this basis,this paper puts forward some suggestions for governments to implement data quality management.
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