Streamlining science with structured data archives

insights from stroke rehabilitation

Nasrin Mohabbati-Kalejahi, Mohammad Ali Alamdar Yazdi, Fadel M. Megahed, Sydney Schaefer, Lara A. Boyd, Catherine E. Lang, Keith R. Lohse

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Recent advances in bibliometrics have focused on text-mining to organize scientific disciplines based on author networks, keywords, and citations. These approaches provide insights, but fail to capture important experimental data that exist in many scientific disciplines. The objective of our paper is to show how such data can be used to organize the literature within a discipline, and identify knowledge gaps. Our approach is especially important for disciplines relying on randomized control trials. Using stroke rehabilitation as an informative example, we construct an interactive graphing platform to address domain general scientific questions relating to bias, common data elements, and relationships between key constructs in a field. Our platform allows researchers to ask their own questions and systematically search the literature from the data up.

Original languageEnglish (US)
Pages (from-to)1-15
Number of pages15
JournalScientometrics
DOIs
StateAccepted/In press - Aug 21 2017

Fingerprint

data bank
stroke
Patient rehabilitation
rehabilitation
scientific discipline
science
knowledge gap
trend
literature

Keywords

  • Bibliometrics
  • Data visualization
  • Meta-science
  • Randomized controlled trials

ASJC Scopus subject areas

  • Social Sciences(all)
  • Computer Science Applications
  • Library and Information Sciences
  • Law

Cite this

Mohabbati-Kalejahi, N., Yazdi, M. A. A., Megahed, F. M., Schaefer, S., Boyd, L. A., Lang, C. E., & Lohse, K. R. (Accepted/In press). Streamlining science with structured data archives: insights from stroke rehabilitation. Scientometrics, 1-15. https://doi.org/10.1007/s11192-017-2482-z

Streamlining science with structured data archives : insights from stroke rehabilitation. / Mohabbati-Kalejahi, Nasrin; Yazdi, Mohammad Ali Alamdar; Megahed, Fadel M.; Schaefer, Sydney; Boyd, Lara A.; Lang, Catherine E.; Lohse, Keith R.

In: Scientometrics, 21.08.2017, p. 1-15.

Research output: Contribution to journalArticle

Mohabbati-Kalejahi, Nasrin ; Yazdi, Mohammad Ali Alamdar ; Megahed, Fadel M. ; Schaefer, Sydney ; Boyd, Lara A. ; Lang, Catherine E. ; Lohse, Keith R. / Streamlining science with structured data archives : insights from stroke rehabilitation. In: Scientometrics. 2017 ; pp. 1-15.
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