Visualizing science based on open data sources

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Presentation at the Workshop on Open Citations, University of Bologna, Bologna, Italy, September 4, 2018. I will demonstrate the use of the VOSviewer software (www.vosviewer.com), of which I am one of the developers, for creating bibliometric visualizations of science based on openly available bibliographic data sources. Both the use of Crossref data and the use of data from the OpenCitations Corpus will be demonstrated. In addition, I will show how data from Dimensions can be used. The possibilities and limitations of the currently available open data sources will be discussed, also in comparison with more established data sources such as Web of Science and Scopus. Finally, I will provide my perspective on future developments, focusing especially on the integration of open data sources and visual analysis tools.

Sciences

Visualizing science based on open data sources
Nees Jan van Eck and Ludo Waltman
Centre for Science and Technology Studies (CWTS), Leiden University
Workshop on Open Citations
University of Bologna, Bologna, Italy
September 4, 2018

Users of VOSviewer
• Researchers
• Research institutions
• Research funders
• Scientific publishers
• Industry
2

Bibliometric networks
4
WoS
Scopus
Dimensions
PubMed
Crossref
Citation network
of pubs / journals / authors / orgs / countries
Co-authorship network
of authors / orgs / countries
Co-citation network
of pubs / journals / authors / orgs / countries
Co-occurrence network
of keywords / terms
Bibliographic coupling network
of pubs / journals / authors
Bibliographic
data source

Types of networks supported by each data source
5
Co-authorship Co-
occurrence
Citation Bibliographic
coupling
Co-citation
Web of Science
    
Scopus
    
Dimensions
    
PubMed
    
Crossref
    

Journal citation network based on openly available
Crossref data
6

Demonstration
• Journals:
– Journal of Informetrics (Elsevier)
– Scientometrics (Springer Nature)
• Time period: 2007-2016
• Data sources:
– Dimensions
– Crossref
– OCC (OpenCitations Corpus)
– COCI (OpenCitations Index of Crossref open DOI-to-DOI references)
7

Coverage of publications and citations for each data
source
12

Wish list for improving open data sources
• Expanding coverage of publications (OCC)
• Opening citations (Crossref)
• Opening other metadata, e.g. abstracts (Dimensions, Crossref, OCC)
• Improving completeness and standardization of metadata (Crossref)
• Speeding up APIs
13

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Visualizing science based on open data sources

1. Visualizing science based on open data sources Nees Jan van Eck and Ludo Waltman Centre for Science and Technology Studies (CWTS), Leiden University Workshop on Open Citations University of Bologna, Bologna, Italy September 4, 2018

2. VOSviewer 1

3. Users of VOSviewer • Researchers • Research institutions • Research funders • Scientific publishers • Industry 2

4. Data sources supported by VOSviewer 3

5. Bibliometric networks 4 WoS Scopus Dimensions PubMed Crossref Citation network of pubs / journals / authors / orgs / countries Co-authorship network of authors / orgs / countries Co-citation network of pubs / journals / authors / orgs / countries Co-occurrence network of keywords / terms Bibliographic coupling network of pubs / journals / authors Bibliographic data source

6. Types of networks supported by each data source 5 Co-authorship Co- occurrence Citation Bibliographic coupling Co-citation Web of Science      Scopus      Dimensions      PubMed      Crossref     

7. Journal citation network based on openly available Crossref data 6

8. Demonstration • Journals: – Journal of Informetrics (Elsevier) – Scientometrics (Springer Nature) • Time period: 2007-2016 • Data sources: – Dimensions – Crossref – OCC (OpenCitations Corpus) – COCI (OpenCitations Index of Crossref open DOI-to-DOI references) 7

9. 8

10. 9

11. 10

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13. Coverage of publications and citations for each data source 12

14. Wish list for improving open data sources • Expanding coverage of publications (OCC) • Opening citations (Crossref) • Opening other metadata, e.g. abstracts (Dimensions, Crossref, OCC) • Improving completeness and standardization of metadata (Crossref) • Speeding up APIs 13

15. Thank you for your attention! 14

Visualizing science based on open data sources

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