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Adaption/adoption of PIDINST for Wind Energy/Engineering community

  • Creator
    Discussion
  • #104151

    Dear all,
    I am very eager to provide new use cases for PIDINST. We are operating several static and mobile research infrastructures used in the wind energy/engineering community. As such we generate large quantities of data that we would like to relate to the infrastructures that created them (e.g., long-range WindScanner system). Therefore, for some time we have been looking for PID for instruments.
    I read a paper that you published and it would be very useful and efficient if someone could guide me a bit on how to adapt/adopt your work. My intention is to create sort of a recipe for my community, thus enabling more people to use the WG output and register PIDINST.
    Looking forward to your reply,
    Nikola

  • Author
    Replies
  • #129806

    Dear Nikola,
    Thanks for your interest and for reaching out! Your case sounds very
    interesting.
    You have probably already seen this, we keep the use case descriptions here:
    https://github.com/rdawg-pidinst/use-cases
    In principle you can grab an existing one as a template. Feel free to
    post a PR and we will review/integrate it.
    Subsequently, we can see whether the current schema meets your
    requirements. For this, you would ideally join a future call, which
    are on first Wed every month at 2 pm UTC. I will send a reminder about
    the next call next week.
    Hope this helps.
    Cheers, m.
    On Wed, May 27, 2020 at 1:26 PM niva via Persistent Identification of

  • #129804

    Dear Markus,

     

    Many thanks for the swift reply.

    I am aware of the GIT repo, and I will follow your suggestion to investigate existing examples, build a wind-energy example, and submit Pull Request.

    Indeed, I would like to join one of the future calls.

    Best, Nikola

     

  • #129799

    Dear Nikola,
    great, looking forward to meeting you on a future call!
    Cheers, m.
    On Wed, May 27, 2020 at 2:07 PM niva via Persistent Identification of

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