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Scientometrics

, Volume 113, Issue 2, pp 969–983 | Cite as

Streamlining science with structured data archives: insights from stroke rehabilitation

  • Nasrin Mohabbati-Kalejahi
  • Mohammad Ali Alamdar Yazdi
  • Fadel M. Megahed
  • Sydney Y. Schaefer
  • Lara A. Boyd
  • Catherine E. Lang
  • Keith R. LohseEmail author
Article

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.

Keywords

Meta-science Randomized controlled trials Data visualization Bibliometrics 

Notes

Acknowledgements

The authors would like to thank Adam Raikes, a Ph.D. student at Utah State University, for his assistance with data management/extraction. In addition, we are grateful to the insights and feedback provided by Yedurag Babu, a recent graduate of Auburn University and a current data scientist at The Home Depot, on some of the earlier versions of the interactive visualizations.

Supplementary material

11192_2017_2482_MOESM1_ESM.docx (36 kb)
Supplementary material 1 (DOCX 35 kb)

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Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2017

Authors and Affiliations

  • Nasrin Mohabbati-Kalejahi
    • 1
  • Mohammad Ali Alamdar Yazdi
    • 1
  • Fadel M. Megahed
    • 2
    • 3
  • Sydney Y. Schaefer
    • 4
  • Lara A. Boyd
    • 5
  • Catherine E. Lang
    • 6
  • Keith R. Lohse
    • 7
    Email author
  1. 1.Department of Industrial and Systems EngineeringAuburn UniversityAuburnUSA
  2. 2.Farmer School of BusinessMiami UniversityOxfordUSA
  3. 3.Center for Analytics and Data Science (CADS)Miami UniversityOxfordUSA
  4. 4.School of Biological and Health Systems EngineeringArizona State UniversityTempeUSA
  5. 5.Department of Physical TherapyUniversity of British ColumbiaVancouverCanada
  6. 6.Program in Physical Therapy, Occupational Therapy, and Department of NeurologyWashington University School of Medicine in St. LouisSt. LouisUSA
  7. 7.Department of Health, Kinesiology, and RecreationUniversity of UtahSalt Lake CityUSA

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