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Transparency to sustain open science infrastruc...

Transparency to sustain open science infrastructure - Printemps Couperin

A presentation of TSOSI made for Couperin, the French consortium of research libraries . The presentation is therefore aimed at professional research librarians.
See the full program of the conference https://printempscoup.sciencesconf.org/

Maxence Larrieu

March 18, 2025
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  1. the more the libraries appreciate the connection between the content

    and the infrastructure, the more they might be willing to pay for, support, or subsidize the infrastructure as well Peter Suber, 2021, Open Science infrastructures, SCOSS Webinar. https://www.youtube.com/watch?v=GwSoFKFCjic ’’
  2. Started in 2014 In 2025, OpenAPC bring together 636 institutions

    from 24 countries The 7 countries with the most contributing institutions country nb_institutions Germany 136 France 112 the United Kingdom 102 Switzerland 51 Finland 46 Sweden 39 Austria 38 https://github.com/OpenAPC/openapc-de/
  3. As OpenAPC, TSOSI • is a solution to practise open

    data • is a strategic tool to understand the dynamics of open science
  4. • TSOSI data are traces of the choices made to

    support infrastructure • The more a user explores these data, the more evident it will be for them why to support open infrastructure #reasons
  5. why We know much more about why we should purchase

    content than why we should fund open science infrastructure We know much more about why we should purchase content than why we should fund open science infrastructure
  6. We make much more noise when we buy products, than

    when we contribute to common goods #sound
  7. A non-existent APC isn't quite as noticeable as one you

    have to pay Caux, J.-S. (2024-10). Diamond sustainability requires sustenance scipost.org/blog/post/2024-10-07/diamond-sustainability-requires-sustenance ’’
  8. We collect financial data from TSOSI partners 1 For 2025,

    we are collecting data from TSOSI infrastructure partners: DOAJ, DOAB, PCI, SciPost, OPERAS
  9. We enrich and curate this data with ROR and Wikidata

    identifiers 2 Which allows to deduplicate and retrieves description and logos from Wikipedia
  10. We build attractive dataviz so that everyone can explore and

    make sense of this data wants to contribute to open infrastructures 3