Usage Patterns of Open Genomic Data | Zendy

Jingfeng Xia | Zendy; Ying Liu | Zendy

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Usage Patterns of Open Genomic Data

Author(s) -

Jingfeng Xia,

Ying Liu

Publication year - 2013

Publication title -

college and research libraries

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.886

H-Index - 52

eISSN - 2150-6701

pISSN - 0010-0870

DOI - 10.5860/crl-324

Subject(s) - computer science , reuse , open data , data science , open science , scholarship , value (mathematics) , data sharing , data quality , quality (philosophy) , information retrieval , world wide web , biology , political science , metric (unit) , business , statistics , medicine , mathematics , philosophy , ecology , alternative medicine , pathology , marketing , machine learning , law , epistemology

This paper uses Genome Expression Omnibus (GEO), a data repository in biomedical sciences, to examine the usage patterns of open data repositories. It attempts to identify the degree of recognition of data reuse value and understand how e-science has impacted a large-scale scholarship. By analyzing a list of 1,211 publications that cite GEO data to support their independent studies, it discovers that free data can support a wealth of high-quality investigations, that the rate of open data use keeps growing over the years, and that scholars in different countries show different rates of complying with data-sharing policies.

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