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FAIRplus

financed

FAIRplus

Wide sharing of knowledge and data drives the progression of science. Shared data allows other researchers to reproduce findings and benchmark quality of experiments. Sharing data so that other researchers can Find, Access and Int... see more

31/12/2022

EMBL

8M€

Project Budget: 8M€

Project leader

EUROPEAN MOLECULAR BIOLOGY LABORATORY No se ha especificado una descripción o un objeto social para esta compañía.

PARTICIPATION DEPralty Sin fecha límite de participación.

Ver 23 Participantes

Financing granted El organismo H2020 notifico la concesión del proyecto The day 2022-12-31

IMI2-2017-12-02: FAIRification of IMI and EFPIA data Specific Challenge:Since 2008, numerous IMI consortia have been generating results in a diverse set...

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Cerrada does 7 years

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

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23 Participantes

EMBL

855.64K€ | Leader

BARCELONA SUPERCOMPUTING CEN...

190.31K€ | participant

JANSSEN PHARMACEUTICA NV

817.70K€ | participant

HWU

70.49K€ | participant

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Project duration: 48 months Date Start: 2018-12-18
End date: 2022-12-31

Project leader

EUROPEAN MOLECULAR BIOLOGY LABORATORY No se ha especificado una descripción o un objeto social para esta compañía.

Project Budget 8M€

participation deadline Sin fecha límite de participación.

Project description Wide sharing of knowledge and data drives the progression of science. Shared data allows other researchers to reproduce findings and benchmark quality of experiments. Sharing data so that other researchers can Find, Access and Interoperate – i.e. integrate the data with the outcomes of their own experiments - allows Reuse and an opportunity to build the large aggregated cohorts we need to detect rare signals and manage the many confounding factors in translational research. This project will develop the guidelines and tools needed to make data FAIR. Through worked examples using IMI and EFPIA data and application and extension of existing methods we will improve the level of discovery, accessibility, interoperability and reusability of selected IMI and EFPIA data. In addition, through disseminated guidelines and tailored training for data handlers in academia, SMEs and pharmaceuticals, data management culture will change and be sustained and datasets will be reused by pharmaceutical companies, academia and SMEs. Our FAIR SME & Innovation programme will enable wide data reuse and foster an innovation ecosystem around these data that power future re-use, knowledge generation, and societal benefit. We call this approach ‘FAIRplus’.

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