Progress and use cases from the Research Metadata Schemas WG

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25 Nov 2019
Group(s) submitting the application: 
Meeting objectives: 

 


The proposed session has the following objectives:

  • To introduce the group to new audiences

  • To inform and discuss the progress towards the WG’s outputs 

  • To present mappings to/from schema.org, including use cases from International Geo Sample Number (IGSN), software (Codemeta) and training materials, etc.  

  • Seek input and feedback from participants and other RDA WGs/IGs for future activities

Meeting agenda: 
  • Introduce the WG (objects, outputs, etc) (~10min)

  • Present use cases of aligning up with Schema.org, for example: (~30min)

    • IGSN

    • Software (Codemeta)

    • Training materials

  • Report on progress (15min)

    • Mapping of metadata schemes to Schema.org

    • Guidelines of publishing metadata to the web

  • Discussion (~30min)

    • Feedback to the group’s progress and future activities

    • Partner with adopters to work together on the guidelines 

    • Connections with other RDA WGs/IGs

  • Wrap-up, next actions for the group (5min)

 

Target Audience: 
  • Anyone (especially data repository/catalogue manager/developer/operator) who is interested and would like to know more about how to publish and get their data discoverable via web architecture.

  • Anyone who works on research data metadata schema would like to be informed of what this WG plans to do and how they can contribute to the proposed work. 

  • Anyone who is interested in building knowledge graph or any innovative data discovery applications on aggregated research data resources.

Brief introduction describing the activities and scope of the group: 

 This proposed working group will provide a platform to complement, build on and extend efforts from bioschema.org, science-on-schema.org and the like communities in applying and extending the core schema.org vocabulary for describing research datasets and related resources. The objectives of this work group are twofold: 

  1. to identify and bridge gaps in existing schemas commonly used for research data, by bringing together communities who are working with such vocabularies to document research data and related resources; 

  2. to provide guidelines for those communities whose needs are not addressed by existing metadata schema such as schema.org, and provide guidelines on proposing extensions. 

 

The planned outputs will include: 

  1. A generic ‘conceptual data model’ with essential types and properties for research data discovery over the web. The model will be built on bioschemas.org, science-on-schema.org, schema.org, DCAT, DDI-DISCO and SSN schemas from some representative research domains, and data discovery use cases. A research domain can map their schema to the conceptual model when they publish data to the web or exchange metadata between data portals/repositories. 

  2. A guidelines of common patterns for publishing metadata landing pages with structured data markup, and guidelines of how to customise the research schemas for targeted domains with examples.

  3. Toolings for making the implementation easier if resources are available. This could include collecting and cataloguing tools that generate, validate and parse schema.org & DCAT markup, etc.. 

Short Group Status: 

This working group was endorsed in September 2019, as a spinoff from a task force "Using schema.org for Research Dataset Discovery" of the RDA Data Discovery Paradigms IG.

So far, the group has organised the following activities:

 

You can join the group if you are an RDA member:

Log in to the RDA Web site with your RDA userid/password, go to the Group page, and press the Join group button on the right (near the top of the page).

If you are not an RDA member, you can join RDA here: https://rd-alliance.org/user/register (it’s free!)

Estimate of the required room capacity (Hybrid plenary): 
60 (we had ~72 at P14)
Type of Meeting: 
Working meeting
Remote participation availability (only for physical Plenaries): 
Yes
Avoid conflict with the following group (1): 
Avoid conflict with the following group (2): 
Avoid conflict with the following group (3):