19–21 Jun 2019
University of Geneva
Europe/Zurich timezone
Open Science – its impact and potential as a driver for radical change

Session

Session 2

S2
19 Jun 2019, 16:00
Uni Mail, auditorium M R380 (University of Geneva)

Uni Mail, auditorium M R380

University of Geneva

Uni Mail Boulevard du Pont-d'Arve 40 1205 Genève

Conveners

Session 2: Back to the future: FAIR data as a booster of innovation

  • Elena Giglia (Università Torino)

Presentation materials

There are no materials yet.

  1. Luiz Bonino (Leiden University Medical Centre)
    19/06/2019, 16:00

    In the recent years we have seen a rapid uptake of the FAIR principles. Many organisations and individuals got interested in the potential of the principles to improve the data landscape. After the initial widespread acknowledgment on the relevance of using the principles as guidelines towards a more integrated data environment, the natural next step is to make them concrete in terms of best...

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  2. Annalisa Montesanti (Health Research Board (HRB))
    19/06/2019, 16:20

    The Health Research Board as many other funders recognises that (1) research data are an important and expensive output of the scholarly research process across all disciplines, (2) the importance of data sharing and reuse and (3) the need to properly manage research data and maximise their availability with as few restrictions as possible.

    Funding agencies are drivers in creating FAIR...

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  3. Maria Cruz (Library of the Vrije Universiteit Amsterdam )
    19/06/2019, 16:40

    With the aim of improving the findability, accessibility, interoperability, and reuse of digital assets, FAIR Data holds tremendous promises for knowledge discovery and innovation. The FAIR principles have taken the research world by storm, since their publication in 2016. Funding agencies across Europe, including the European Commission, have readily adopted these principles and have made...

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  4. Carlo Napoli (Enel Foundation)
    19/06/2019, 17:00

    How a large energy company can innovate leveraging the open innovation model? What is the role of data, and of information flows in general, in this endeavor? What are the barriers and enabling factors that allow to effectively adopt this way of working? The presentation will elaborate on this main topics, with some examples from real life practice.

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