The Hyve

@TheHyveNL

We empower scientists by building on open source software:

Netherlands / USA
Vrijeme pridruživanja: ožujak 2012.

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  1. Prikvačeni tweet
    5. pro 2019.

    "Change is the one constant in the organization, you should embrace . The is a passing phase." 's talk on "Reuse of R&D data and the promises of FAIR data lakes - can it be done?" at .

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  2. prije 8 minuta

    Are you an expert at semantic modelling? Come join our team .

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  3. proslijedio/la je Tweet
    31. sij

    Getting feedback from the Scientific and Industry Advisory Board and the Advisory Board is essential for planning our future activities. Many thanks to the members of the two Boards for reviewing our work and joining the discussion at the General Assembly.

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  4. proslijedio/la je Tweet
    31. sij

    Enthusiasm about the launch of the PHT network platform. At our fully packed Health-RI conference

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  5. proslijedio/la je Tweet
    31. sij

    We have over 50 representatives from 22 partners in the project meeting this week at the project General Assembly. Many thanks to all of them for presenting their work and discussing plans for 2020.

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  6. proslijedio/la je Tweet
    30. sij

    Why, what and how of fair data Daniel van Loon, Sabrina Erdinger of and Sergej Middelkoop explain at

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  7. proslijedio/la je Tweet
    30. sij

    Lessons learned while implementing FAIR data in their projects by : do it gradually, take time to adjust, collaborate with others

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  8. proslijedio/la je Tweet
    30. sij

    The concept introduced here by is a distributed infrastructure for learning from health data. Community mapping with Inga Tharun - some thoughts in this thread.

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  9. proslijedio/la je Tweet
    30. sij

    The last IMI2 - Call 20 webinar is tomorrow (31/01) and we're talking protein drug products! Register / catch up on previous webinars: Learn more about IMI2 - Call 20:

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  10. proslijedio/la je Tweet
    30. sij
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  11. proslijedio/la je Tweet
    30. sij

    Read our January 2020 newsletter, with the latest on our funding opportunities + news from our projects an ( ), 's disease ( ) and () ➡️

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  12. proslijedio/la je Tweet
    30. sij

    The second EHDEN open call for SMEs to receive training and certification will open on Saturday 1st of February! The deadline to submit your application is February 29th 17h00 CET. Keep an eye on our channels and for more information.

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  13. proslijedio/la je Tweet
    30. sij

    Why the personal health train is important. and provide the answer: Using all data, while retaining privacy to answer important questions in health. Questions from researchers and patients.

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  14. proslijedio/la je Tweet
    30. sij

    Organisations and institutions should be convinced to share data. Bottom up as well as top down. from and management board of Health-RI

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  15. proslijedio/la je Tweet
    30. sij

    Many thanks to all who attended the event yesterday. We had a great discussion about what can bring to companies & SMEs. You can now watch online the keynote by who talked about the history and the future of FAIR:

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  16. proslijedio/la je Tweet
    29. sij

    data from project is available, curated, from BioSamples. Leveraging OLS APIs.

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  17. proslijedio/la je Tweet
    30. sij
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  18. proslijedio/la je Tweet
    30. sij

    These kind of developments in get me excited. It may look very boring to work on data models and their operationalization, but this kind of work on data interoperability is crucial if we want to advance biomedical research. See also

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  19. proslijedio/la je Tweet
    30. sij

    A nice example of the use of to integrate cancer data from a national cohort and provide a tool to directly browse and interpret the results!

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  20. proslijedio/la je Tweet
    29. sij

    "Sequencing 5m genomes is a monumental task people doubt we can achieve...we WILL prove them wrong, like we did for 100k genomes" Baroness Nicola Blackwood

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  21. proslijedio/la je Tweet
    29. sij

    This research comes from Craig Mayer et al: "Validation of Real World Data: Case study in hepatitis C.” Validating phenotype algorithms is vital for use of in generation of meaningful . ➡️

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