Automatic Identification of Research Articles Containing Data Usage Statements

Qiuzi Zhang, Wei Lu, Yunhan Yang, Haihua Chen and Jiangping Chen

Chapter 4 in Knowledge Discovery and Data Design Innovation:Proceedings of the International Conference on Knowledge Management (ICKM 2017), 2017, pp 67-87 from World Scientific Publishing Co. Pte. Ltd.

Abstract: Modern scientific research is characterized with sharing datasets and reusing data for developing new models and theories. This paper describes a study to identify research articles with data use and reuse information. Applying a bootstrapping-based unsupervised training strategy, we were able to develop text patterns automatically out of a large training collection of research articles. These patterns were then used to distinguish articles with data use and reuse from those without data usage. Our experiments using Computer Science literature showed that the identification could achieve more than 85% pattern extensibility. We also demonstrate how the results of the identification could be utilized to gain insights on data sharing and reuse in a scientific field.

Keywords: Knowledge Discovery; Big Data; Data Science; Data Analytics; Innovation (search for similar items in EconPapers)
JEL-codes: O30 (search for similar items in EconPapers)
Date: 2017
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