Extracting Academic Publication Data Using Web Automation Tools
Abstract
Web automation is an approach to programmatically accessing websites to perform a number of tasks such as software testing, web scraping, forms completion, or transferring data between websites. In this paper, we describe the development of a web automation tools to extract academic publication data from online bibliographic database namely Google Scholar and Scopus for an academic institution. The extracted data is then will be analyzed to produce publication reports to measure scholarly productivity and impact by academic staff, departments, institutions, or research groups. With this information, the top management can monitor publication performance in a better way in term of decision making and organizational strategic planning. In addition, the reports can be used to emphasize and promote individual staff, grant applications from certain research group or department based of publication output.
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