Big data, big metadata and quantitative study of science: A workflow model for big scientometrics

Sarah Bratt, Jeff Hemsley, Jian Qin, Mark R. Costa. Big data, big metadata and quantitative study of science: A workflow model for big scientometrics. In Sanda Erdelez, Naresh Kumar Agarwal, editors, Diversity of Engagement: Connecting People and Information in the Physical and Virtual Worlds - Proceedings of the 80th ASIS&T Annual Meeting, ASIST 2017, Washington, DC, USA, October 27 - November 1, 2017. Volume 54 of Proceedings of the Association for Information Science and Technology, pages 36-45, Wiley, 2017. [doi]

@inproceedings{BrattHQC17,
  title = {Big data, big metadata and quantitative study of science: A workflow model for big scientometrics},
  author = {Sarah Bratt and Jeff Hemsley and Jian Qin and Mark R. Costa},
  year = {2017},
  doi = {10.1002/pra2.2017.14505401005},
  url = {https://doi.org/10.1002/pra2.2017.14505401005},
  researchr = {https://researchr.org/publication/BrattHQC17},
  cites = {0},
  citedby = {0},
  pages = {36-45},
  booktitle = {Diversity of Engagement: Connecting People and Information in the Physical and Virtual Worlds - Proceedings of the 80th ASIS&T Annual Meeting, ASIST 2017, Washington, DC, USA, October 27 - November 1, 2017},
  editor = {Sanda Erdelez and Naresh Kumar Agarwal},
  volume = {54},
  number = {1},
  series = {Proceedings of the Association for Information Science and Technology},
  publisher = {Wiley},
}