University of Illinois Urbana-Champaign

Methodological and Technical Challenges in Big Scientometric Data Analytics

Qin, Jian; Costa, Mark; Wang, Jun

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https://hdl.handle.net/2142/73756

Description

Title
Methodological and Technical Challenges in Big Scientometric Data Analytics
Author(s)
  • Qin, Jian
  • Costa, Mark
  • Wang, Jun
Issue Date
2015-03-15
Keyword(s)
  • data analytics and evaluation
  • data science including digital curation and big data
  • quantitative analyses including statistics
Date of Ingest
2015-03-24T16:07:45Z
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.
Publisher
iSchools
Series/Report Name or Number
iConference 2015 Proceedings
Type of Resource
text
Genre of Resource
Conference Poster
Language
English
Permalink
http://hdl.handle.net/2142/73756
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Copyright 2015 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.

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