A Software Prototype for Collecting Meta-Data from Academic Databases

Bildiriler > Özet Bildiri · 2019

Yazarlar: İnanç KABASAKAL

2nd International Instructional Technologies in Engineering Education Conference, Türkiye, İzmir, Uluslararası, Sözlü Sunum, Özet Bildiri, 2019-2019, ss 21-21

Özet

<p>Large&nbsp;volumes&nbsp;of&nbsp;publications&nbsp;are&nbsp;listed&nbsp;in&nbsp;online&nbsp;academic&nbsp;databases.&nbsp;Despite&nbsp;the&nbsp;volume&nbsp;of&nbsp;the&nbsp;data,&nbsp;researchers&nbsp;are&nbsp;able&nbsp;to&nbsp;browse&nbsp;through&nbsp;journals,&nbsp;book&nbsp;chapters,&nbsp;and&nbsp;proceedings&nbsp;to&nbsp;obtain&nbsp;relevant&nbsp;resources.&nbsp;The&nbsp;use&nbsp;of&nbsp;metadata&nbsp;is&nbsp;an&nbsp;essential&nbsp;step&nbsp;to&nbsp;locate&nbsp;more&nbsp;specific&nbsp;results&nbsp;and&nbsp;facilitate&nbsp;such&nbsp;an&nbsp;inquiry.&nbsp;Metadata&nbsp;might&nbsp;be&nbsp;defined&nbsp;as&nbsp;a&nbsp;set&nbsp;of&nbsp;information&nbsp;that&nbsp;describes&nbsp;the&nbsp;data&nbsp;and&nbsp;involves&nbsp;keywords&nbsp;that&nbsp;help&nbsp;to&nbsp;label&nbsp;documents&nbsp;and&nbsp;summarize&nbsp;ideas.&nbsp;For&nbsp;academic&nbsp;researchers,&nbsp;metadata&nbsp;has&nbsp;been&nbsp;a&nbsp;useful&nbsp;asset&nbsp;while&nbsp;conducting&nbsp;systematic&nbsp;literature&nbsp;reviews.&nbsp;The&nbsp;use&nbsp;of&nbsp;publication&nbsp;metadata&nbsp;has&nbsp;been&nbsp;an&nbsp;emerging&nbsp;area&nbsp;of&nbsp;interest&nbsp;in&nbsp;Informetrics&nbsp;and&nbsp;Scientometrics.&nbsp;Informetrics&nbsp;studies&nbsp;help&nbsp;academic&nbsp;researchers&nbsp;and&nbsp;students&nbsp;to&nbsp;explore&nbsp;the&nbsp;publication&nbsp;metadata&nbsp;to&nbsp;identify&nbsp;emerging&nbsp;themes&nbsp;and&nbsp;topics.&nbsp;For&nbsp;engineering&nbsp;education,&nbsp;it&nbsp;could&nbsp;be&nbsp;argued&nbsp;that&nbsp;the&nbsp;velocity&nbsp;of&nbsp;change&nbsp;in&nbsp;themes&nbsp;has&nbsp;become&nbsp;more&nbsp;evident&nbsp;over&nbsp;the&nbsp;last&nbsp;decade,&nbsp;along&nbsp;with&nbsp;the&nbsp;introduction&nbsp;of&nbsp;Industry&nbsp;4.0.&nbsp;Various&nbsp;researchers&nbsp;describe&nbsp;this&nbsp;phenomenon&nbsp;as&nbsp;an&nbsp;industrial&nbsp;revolution&nbsp;that&nbsp;brings&nbsp;along&nbsp;new&nbsp;problems,&nbsp;challenges,&nbsp;methods,&nbsp;and&nbsp;tools.&nbsp;In&nbsp;this&nbsp;context,&nbsp;the&nbsp;analysis&nbsp;of&nbsp;publication&nbsp;metadata&nbsp;in&nbsp;engineering&nbsp;disciplines&nbsp;might&nbsp;prove&nbsp;useful&nbsp;to&nbsp;reveal&nbsp;the&nbsp;key&nbsp;topics&nbsp;and&nbsp;emerging&nbsp;trends.&nbsp;On&nbsp;the&nbsp;other&nbsp;hand,&nbsp;an&nbsp;obstacle&nbsp;for&nbsp;such&nbsp;analyses&nbsp;is&nbsp;the&nbsp;intensive&nbsp;effort&nbsp;required&nbsp;for&nbsp;data&nbsp;collection.&nbsp;In&nbsp;our&nbsp;study,&nbsp;a&nbsp;software&nbsp;prototype&nbsp;(developed&nbsp;with&nbsp;the&nbsp;use&nbsp;of&nbsp;C#&nbsp;and&nbsp;Selenium)&nbsp;is&nbsp;introduced&nbsp;to&nbsp;compete&nbsp;with&nbsp;this&nbsp;problem.&nbsp;The&nbsp;software&nbsp;proposed&nbsp;helps&nbsp;to&nbsp;collect&nbsp;publication&nbsp;metadata&nbsp;and&nbsp;DOI&nbsp;identifiers&nbsp;from&nbsp;the&nbsp;academic&nbsp;databases:&nbsp;Ebscohost,&nbsp;Springer,&nbsp;Taylor&nbsp;&amp;&nbsp;Francis,&nbsp;and&nbsp;ScienceDirect.&nbsp;Moreover,&nbsp;the&nbsp;use&nbsp;of&nbsp;data&nbsp;collected&nbsp;through&nbsp;our&nbsp;prototype&nbsp;will&nbsp;be&nbsp;presented</p>

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