Journal of Data and Information Science (Sep 2017)

Identifying Scientific Project-generated Data Citation from Full-text Articles: An Investigation of TCGA Data Citation

  • Li Jiao,
  • Zheng Si,
  • Kang Hongyu,
  • Hou Zhen,
  • Qian Qing

DOI
https://doi.org/10.20309/jdis.201612
Journal volume & issue
Vol. 1, no. 2
pp. 32 – 44

Abstract

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In the open science era, it is typical to share project-generated scientific data by depositing it in an open and accessible database. Moreover, scientific publications are preserved in a digital library archive. It is challenging to identify the data usage that is mentioned in literature and associate it with its source. Here, we investigated the data usage of a government-funded cancer genomics project, The Cancer Genome Atlas (TCGA), via a full-text literature analysis.

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