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Insights on data linking & progressing Scholix for software

  • Creator
  • #133993

    Background on / history of the development of the Scholix schema

    Motivations for adding software

    A first draft of the modified schema

    Instances/examples of the schema showing how software is captured and what kinds of relationships to data and articles could be captured

    Where we are with data and how best to support best practices in the schema

    Additional links to informative material
    Burton, A., Fenner, M., Haak, W., & Manghi, P. (2017). Scholix Metadata Schema For Exchange Of Scholarly Communication Links.
    Scholix Metadata Schema
    La Bruzzo, S., & Manghi, P. (2017). The Scholix Metadata Schema (Json And Xml). Zenodo.

    A fresh look at FAIR for Research Software is examining the FAIR principles in the context of research software from scratch, not based on pre-existing work. Lead: Daniel S. Katz

    FAIR work in other contexts is examining efforts to apply FAIR principles to different forms including workflows, notebooks and training material, to provide insights for the definition and implementation of FAIR principles for research software. Lead: Michelle Barker

    Definition of research software is reviewing existing definitions of research software and will specify the scope for the WG outputs. Lead: Morane Gruenpeter

    Review of new research related to FAIR Software is reviewing new research around FAIR software that has come out since the release of the Towards FAIR principles for research software paper in August 2019. Lead: Neil Chue Hong

    Avoid conflict with the following group (1)
    Software Source Code IG

    Brief introduction describing the activities and scope of the group
    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. 

    Group chair serving as contact person
    Rachael Lammey

    Meeting objectives

    Get feedback on the proposed schema expansion to support software  

    Evaluate definitions of software and data

    Refine recommendations for the use of relation types in relation to software and data

    Discuss the launch plan for an updated version of the schema

    Provide guidance for use and implementation of the schema to support best practice

    Look at existing data/insights and discuss new adoption opportunities

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