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Scholix/Data Usage Metrics WG joint session: from data citation to data metrics

  • Creator
    Discussion
  • #134093

    Collaborative session notes: https://docs.google.com/document/d/1W1iJRhikDADhV0GiI2NyVjo_8pk1cVlo7WlY3rrmLBU/edit?usp=sharing
     

    Introductions and framing (group chairs/co-chairs): why have we combined these two topics? 

    We’ll have guest presenters join us to share details on their implementations, their perspectives, and other pertinent information on Data Usage Metrics, Scholix, and data citation. 

    Scholix

    Motivation for Optica Publishing Group (formerly OSA) to be compliant with Scholix: Scott Dineen (Optica)

    Best practice and initiatives in this space

    ARDC article/data linking case study plans: Adrian Burton, Natasha Simons (ARDC)

    Data Usage Metrics

    Placing data citations in context: A bibliometrics perspective: Kathleen Gregory (ScholCommLab)

    Discussion: the future of Scholix – where do we go from here?

    Suggested topics, but feel free to bring your own: 

    Expanding Scholix to software

    Revisit the model

    Encouraging adoption

    1. First group option
    Data Usage Metrics WG

    Additional links to informative material
    Working Group Recommendation
    Burton, A., Fenner, M., Haak, W., & Manghi, P. (2017). Scholix Metadata Schema For Exchange Of Scholarly Communication Links. https://doi.org/10.5281/ZENODO.1120265
     
    Scholix Metadata Schema
    La Bruzzo, S., & Manghi, P. (2017). The Scholix Metadata Schema (Json And Xml). Zenodo. https://doi.org/10.5281/ZENODO.1120275
     
    Open Citations data dump in Scholix format
    OpenCitations​. (2020). COCI Scholix dataset of all the citation data [Data set]. figshare. https://doi.org/10.6084/M9.FIGSHARE.11663574
     
    Bibliometric analysis of Scholix data
    Khan, N., Pink, C. J., & Thelwall, M. (2020). Identifying Data Sharing and Reuse with Scholix: Potentials and Limitations. Patterns, 1(1), 100007. https://doi.org/10.1016/J.PATTER.2020.100007
     
    COUNTER Code of Practice for Research Data
    https://www.projectcounter.org/code-of-practice-rd-sections/abstract/ 
     
    Data Usage Metrics WG Recommendation
    https://www.rd-alliance.org/group/data-usage-metrics-wg/outcomes/rda-data-usage-metrics-wg-recommendations 

    Applicable Pathways
    Semantics, Ontology, Standardisation, Data Lifecycles – Versioning, Provenance, and Reward

    Avoid conflict with the following group (1)
    PID IG

    Brief introduction describing the activities and scope of the group
    Data Usage Metrics: The WG has produced a recommendation in consideration with RDA for endorsement. The recommendation is focused on community prioritization of normalizing data usage counts according to the COUNTER Code of Practice for Research Data. 
     
    Scholix: The working group has generated a Scholix metadata schema, has helped implement this schema in multiple Scholix hubs and other infrastructure providers, and has built a community that provides Data citation services. The group is in maintenance mode since 2019 and continues to work on Scholix adoption with repositories, publishers and other industry groups. 

    Estimate of the required room capacity
    N/A

    Group chair serving as contact person
    Rachael Lammey

    I declare that I have informed the chairs of all the Working / Interest groups included in this joint meeting application.
    Acknowledged

    Meeting objectives
    To update the community and engage in discussion on progress being made on article/data linking by numerous stakeholders, developments in developing community-led data metrics and how these initiatives complement each other.

    Please indicate the breakout slot (s) that would suit your meeting
    Breakout 8, Breakout 11, Breakout 14, Breakout 17, Breakout 20, Breakout 23

    Privacy Policy
    1

    Target Audience
    1) Data repositories who want to understand better how to contribute to and consume data citations and data usage metrics
    2) Publishers who want to understand better how to contribute data citations from their publications and find out about the work happening around data usage
    3) Consumers of data citation links and information about data usage (e.g. SMEs, service providers) 

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