Reproducible Scientometrics Research: Open Data, Code, and Education


October 17, 2017

Meeting Place

ISSI 2017, Wuhan University
Wuhan, China

Session Organizers

Sybille Hinze
Berlin, Germany

Jason Rollins
Clarivate Analytics
San Francisco, CA, USA

Jesper Schneider
Aarhus University

Theresa Velden
ZTG TU Berlin

Ludo Waltman
CWTS, University of Leiden
The Netherlands

Katy Börner
Indiana University
Bloomington, IN, USA

Slides | MP4

Andrea Scharnhorst
KNAW, Amsterdam
The Netherlands

Workshop Goal

Discuss challenges to the reproducibility of research in the field of scientometrics and develop key actions to improve reproducibility.

Workshop Agenda

1. Introduction (Sybille Hinze & Theresa Velden)

2. Reproducibility in Scientometrics: Data Enclaves, Open Code, and Open Education (Katy Börner, video)

3. Reproducibility in Scientometrics through Quality Assurance (Sybille Hinze)

4. A Vendor's View on Reproducibility — Datasets, Tools, & Partnerships (Jason Rollins)

5. Reproducibility in Scientometrics — A Journal Editor’s Perspective (Ludo Waltman)

6. Reproducibility —Principles and Challenges (Jesper Schneider)

7. Reproducibility & the Performativity of Methods (Theresa Velden)

3:00 - 3:30 PM Coffee Break (sponsored by Clarivate Analytics)

3:30 - 4:30 PM Discussion Groups

4:30 - 5:00 PM Plenary Discussion & Conclusion

Thank you to our generous sponsors: