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Digital Badging for Research Data & Software

  • Creator
    Discussion
  • #134032

    Su Nee Goh
    Participant

    Collaborative session notes: https://docs.google.com/document/d/1-evL7CJ8kmDQsE0nj1LqMRUc4qWfmlYbvLoV…
    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) 

    Abstract: David Mellor leads the policy and incentive programs at the Center for Open Science (COS) in order to reward increased transparency and reduced bias in scientific research. These include policies for publishers and funders in the Transparency and Openness Promotion Guidelines (TOP); preregistration to increase clarity in study design and analysis; removing publication bias with Registered Reports; and recognizing increased transparency with badges. In this talk, David will share COS’s recent work on digital badging.

    Slides

    Pre-recording by presenter

    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: 

    Parashar, M. (2021). Enabling Reproducible Research in Parallel and Distributed Systems. 

    Parashar, M. (2019). “The Reproducibility Initiative,” in Computer, vol. 52, no. 11, pp. 7-8, Nov. 2019, doi: 10.1109/MC.2019.2935265. 

    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.

    Applicable Pathways
    FAIR, CARE, TRUST – Adoption, Implementation, and Deployment

    Are you willing to hold your session at multiple times to accommodate various time zones?
    No

    Avoid conflict with the following group (1)
    Education and Training on Handling of Research Data IG

    Avoid conflict with the following group (3)
    FAIR for Research Software (FAIR4RS) WG

    Contact for group (email)
    sunee@ntu.edu.sg

    Group chair serving as contact person
    Su Nee Goh

    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
     

    Please indicate the breakout slot (s) that would suit your meeting
    Breakout 5, Breakout 6, Breakout 7

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