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Title:Methodological and Technical Challenges in Big Scientometric Data Analytics
Author(s):Qin, Jian; Costa, Mark; Wang, Jun
Subject(s):data analytics and evaluation
data science including digital curation and big data
quantitative analyses including statistics
Abstract:Scientometric analytics faces new technical and methodological challenges in using large-scale metadata as the source of its analysis. This poster reports such challenges encountered in a scientometric analytics project using the GenBank metadata and their implications for data quality, processing, and analysis in scientometric analytics as well as for metadata management.
Issue Date:2015-03-15
Publisher:iSchools
Series/Report:iConference 2015 Proceedings
Genre:Conference Poster
Type:Text
Language:English
URI:http://hdl.handle.net/2142/73756
Peer Reviewed:yes
Rights Information:Copyright 2015 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.
Date Available in IDEALS:2015-03-24


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