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14 research outcomes, page 1 of 2
  • publication . Research . 2021
    Open Access
    Authors:
    Gotz, Andy; Helliwell, John; Richter, Tobias; Taylor, Jonathan;
    Publisher: Zenodo
    Project: EC | PaNOSC (823852)

    The foundation of experimental science is data and the progress of science relies upon a study being reproducible by others’ analysis of the same data. Replicability, on the other hand, comes from independent groups performing their own experiments on the same phenomeno...

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  • publication . Article . Research . 2020
    Open Access English
    Authors:
    Appleton, Owen; Asmi, Ari; Bird, Ian; Dekker, Ron; Blomberg, Niklas; Dimper, Rudolf; Ferrari, Tiziana; Grant, Annabel; Jones, Sarah; Manola, Natalia; ...
    Publisher: Zenodo
    Project: EC | ESCAPE (824064), EC | PaNOSC (823852), EC | ENVRI-FAIR (824068), EC | OpenAIRE-Advance (777541), EC | SSHOC (823782), EC | EOSC-hub (777536), EC | EOSC-Life (824087)

    The European Open Science Cloud (EOSC) will “enable a trusted, virtual, federated environment in Europe to store, share and reuse digital outputs from research (including publications, data, metadata and software) across borders and scientific disciplines”1. Today, at t...

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  • publication . Report . Research . 2020
    Open Access English
    Authors:
    Stevanovic, Uros; Short, Hannah; Kesley, David; Neilsson, Ian; Gietz, Peter;
    Publisher: Zenodo
    Project: EC | AARC2 (730941)

    Authored by: the FIM4R Community The European Open Science Cloud (EOSC) will soon enter the next phase of integration and consolidation with the establishment of a common service portal listing underpinning services that enable distributed resources in the areas of comp...

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  • publication . Research . 2020
    Open Access
    Authors:
    Huber, Robert; Schmitz-Wenzel, Roman;
    Project: EC | ENVRI PLUS (654182)

    Reflections on market participation opportunities for Environmental Research Infrastructures.

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  • publication . Research . Other literature type . Article . 2017
    Open Access
    Authors:
    Demchenko, Yuri; Wiktorski, Tomasz; Belloum, Adam;
    Publisher: Zenodo
    Project: EC | EDISON (675419)

    The Data Science Model Curriculum (MC-DS) is a part of the EDISON Data Science Framework (EDSF) and is a product of the EDISON Project. The MC-DS is built based on CF-DS and DS-BoK, where Learning Outcomes are defined based on CF-DS competences and Learning Units are ma...

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  • publication . Article . Conference object . Research . 2017
    Open Access
    Authors:
    Demchenko, Yuri; Belloum, Adam; Wiktorski, Tomasz;
    Publisher: Zenodo
    Project: EC | EDISON (675419)

    The EDISON project is designed to create a foundation for establishing a new profession of Data Scientist for European research and industry. The EDISON vision for building the Data Science profession will be enabled through the creation of a comprehensive framework for...

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  • publication . Other literature type . Research . Article . 2017
    Open Access
    Authors:
    Yuri Demchenko; Tomasz Wiktorski; Adam Belloum;
    Project: EC | EDISON (675419)

    This document presents the results of the research and development in the EDISON project to define the Data Science Professional profiles (DSPP) that is important for defining the Data Scientist roles in the organisation and their alignment with the organizational goals...

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  • publication . Research . Article . Other literature type . 2017
    Open Access
    Authors:
    Yuri Demchenko; Andrea Manieri; Tomasz Wiktorski; Adam Bellowum;
    Project: EC | EDISON (675419)

    The Data Science Body of Knowledge (DS-BoK) is a part of the EDISON Data Science Framework (EDSF). The release 2 document presents ful working version of the Data Science Body of Knowledge (DS-BoK) definition that is linked to and based on the Data Science Competence Fr...

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  • publication . Research . Article . Other literature type . 2016
    Open Access
    Authors:
    Yuri Demchenko; Adam Belloum; Andrea Manieri; Tomasz Wiktorski;
    Persistent Identifiers
    Project: EC | EDISON (675419)

    The Data Science Body of Knowledge (DS-BoK) is a part of the EDISON Data Science Framework (EDSF). The release 1 document presents first working version of the Data Science Body of Knowledge (DS-BoK) definition that is linked to and based on the Data Science Competence ...

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  • publication . Article . Research . Other literature type . 2016
    Open Access
    Authors:
    Adam Belloum; Tomasz Wiktorski; Yuri Demchenko;
    Persistent Identifiers
    Publisher: Zenodo
    Project: EC | EDISON (675419)

    The MC-DS is a part of the EDISON Data Science Framework (EDSF) and is a product of the EDISON Project. The MC-DS is built based on CF-DS and DS-BoK, where Learning Outcomes are defined based on CF-DS competences and Learning Units are mapped to Knowledge Units in DS-Bo...

    Add to ORCIDorcid
14 research outcomes, page 1 of 2