Digital Badging for Research Data & Software

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25 Feb 2022
Group(s) submitting the application: 
Meeting objectives: 

To learn from the latest updates through presentations from various individuals/groups who have been involved in the development and implementation of digital badges for research data and software


Meeting agenda: 

Collaborative session notes:

This session, leveraging library experience in supporting reproducible and open research, will focus on digital badges for research data and software. 

  • Logging in and getting settled (5 min)

  • Introduction (5 min)

  • Group status update (5 min)

  • Presentations:  

    • Recognizing Increased Transparency with Badges - by David Mellor, Centre for Open Science Director of Policy (10min) 

    • Advancing Reproducibility in Parallel and Distributed Systems Research - by Professor Manish Parashar, IEEE Editor-in-Chief Transactions on Parallel and Distributed Systems (10 min).

      • Abstract: Reproducibility is fundamental to scientific and technical research, and has taken an increased urgency in recent year impacting society’s trust in research results. Recognizing this importance and urgency, the IEEE Transactions on Parallel and Distributed Systems (TPDS) remains committed to enabling reproducible research through transparency and the availability and potential reuse of code and data associated with its publications. In this talk, I will introduce the TPDS Reproducibility Initiative and discuss activities and experiences as part of this initiative.

      • Slides

      • References: 

    • Software Assessment and Badging - by Sandra Gesing, Co-Chair, GO FAIR US, GO BUILD (10 min) 

      • Abstract: The GO BUILD Pillar of GO FAIR US focuses on the development of a FAIR assessment framework and implementation guidance for research software hosting and sharing platforms. Particular focus has been given to the mechanism of badging for FAIR research software assessment and implementation guidance which has led us to explore topics such as repository workflows and software discovery as well. This talk will summarize the work that has been done so far by the group and describe our next steps towards furthering community guidance and implementations.

      • Slides

    • Discussion/Questions (40 min)

  • Closing remarks (5 min)

Other references:

NISO (2021). Reproducibility badging and definitions: A recommended practice of the National Information Standards Organization.
PLOS (2022). Spend less time looking for articles with accessible datasets.

Target Audience: 

Library Professionals, Data Professionals, Archivists, Publishers, Research Support Staff, Researchers

Group chair serving as contact person: 
Brief introduction describing the activities and scope of the group: 

Research Data have become a primary research asset that often requires continued access in the dynamic environment of mobile researchers, volatile repositories, transient products and short-lived standards. Libraries have looked after written research assets for centuries and now tackle the challenge of adapting their function to making data reliably accessible and re-usable.

Short Group Status: 

Recognised & Endorsed

Type of Meeting: 
Informative meeting
Avoid conflict with the following group (1): 
Avoid conflict with the following group (2): 
Meeting presenters: 
David Mellor (Center for Open Science); Manish Parashar (IEEE editor-in-chief); Sandra Gesing (Co-Chair, GO FAIR US, GO BUILD)
Contact for group (email):