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v1: R1 Knowledge Collaboratives

Published onJul 20, 2020
v1: R1 Knowledge Collaboratives
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see also: UR Data — the Underlay Registry for contributors

Overview

The R1 Underlay registry provides tools and a community hub for data-collaboratives to make their data public and persistent. This will let other groups find and query your data, see where it comes from and what it depends on, and trace any enrichment or fusion you have done to make it more usable.

Process:

  • We work with your data collaborative to understand the data you collect, schemas you use, and the intended audience. This is for us to understand your work and to prepare for the next steps.

  • We take data in [standard formats], and enrich it with context, provenance, and reconciliation links as needed to integrate it with other Underlay data. This will include annotations about the shape and schema of your data, its sources and dependencies, and changes made in the process.

  • The output is one or more named packages in a public repository for your collaborative where anyone can find, explore, and query your data, and incorporate parts of it into their work. This lets people interested in either your compiled outputs or in working in parallel with the same sources, to benefit from your work to compile and clean it, and gives them a permissionless way to collaborate and share updates with you.

Output:

Reducing the friction and time it takes to make data usable to the public increases accessibility and unlocks data as a public good. The work outlined above will live on a public-facing URL, such as r1.underlay.org/covid-collab. Setting up the data this way to make it accessible from the start, is just a catalyst for shortening and strengthening future feedback loops.


Examples

  • Innovation: Citation graphs, papers, + metrics
    Innovation Information Initiative,


  • Epidemics: COVID cases, tests, + outcomes
    Our World in Data,

  • Food + cooking: Food, tools, techniques, + recipes
    Hello, Cookie!, FoodKG, Recipe1M embeddings

  • Food security:  Need, supply, logistics, + programs
    Baylor HDL?

  • Knowledge graphs: General catalogs + databus efforts
    Wikidata subsets, DBpedia,


  • Collective notes:
    Wiki templates, Codex, Roam

  • Cultural heritage:
    Museum catalogs, provenance, artefact embeddings

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