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40 Research products, page 1 of 4

  • Publications
  • Research data
  • Data Management Plan
  • Energy Research

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  • Publication . Data Management Plan . 2021
    Open Access English
    Authors: 
    Rubio, Hugo;
    Publisher: Zenodo
    Project: EC | LIKE (858358), EC | LIKE (858358)

    I present the Data Management Plan for my Ph.D. project called "Combination of floating lidar measurements with numerical modeling for an integrated offshore wind resource assessment". This document aims to define the research data that will be generated, collected, and/or processed during the execution of this project and to describe how this information will be handled to comply with the FAIR (Findable, Accessible, Interoperable, and Re-usable) principles.

  • Publication . Data Management Plan . 2020
    Open Access
    Authors: 
    Wei Fu;
    Publisher: Zenodo

    The Data Management Plan presented here is for my PhD project: Atmospheric turbulence characterization under inhomogeneous inflow conditions using nacelle-lidar measurements, which is part of the Lidar Knowledge Europe (LIKE) project funded by the EU Horizon 2020 (858358). This document outlines the main objectives of the project, the data collection, data storage, documentation of the metadata, data sharing strategies and the long-term preservation of the dataset.

  • Publication . Data Management Plan . 2020
    Open Access
    Authors: 
    Marín-González, E.; Campos, I.;
    Publisher: Zenodo
    Project: EC | PROSEU (764056), EC | PROSEU (764056)

    The PROSEU project participates in the Open Research Data (ORD) Pilot, launched by the European Commission (EC), which aims at promoting free access, reuse, repurpose, and redistribution of data generated by Horizon 2020 projects. Therefore, the purpose of the PROSEU Data Management Plan (DMP) is to provide a description of the main elements of the data management policy that have been used by the Consortium with regard to the research data generated and collected during the project. PROSEU WP1 - Coordination and Management

  • Publication . Data Management Plan . 2020
    Open Access English
    Authors: 
    Fiorot, Sabina;
    Publisher: Zenodo
    Project: EC | HyCARE (826352)

    Deliverable 1.2. The report has the purpose to present the Data Management Plan for HyCARE project and it is part of WP1: Project Management, under responsibility of UNITO. The deliverable is developed by ENVIPARK (UniTo third party) with the support of all the partners.

  • Publication . Data Management Plan . 2020
    Open Access English
    Authors: 
    Sabina Fiorot;
    Publisher: Zenodo
    Project: EC | HyCARE (826352), EC | HyCARE (826352)

    Deliverable 1.2. The report has the purpose to present the Data Management Plan for HyCARE project and it is part of WP1: Project Management, under responsibility of UNITO. The deliverable is developed by ENVIPARK (UniTo third party) with the support of all the partners.

  • Publication . Data Management Plan . 2019
    Open Access English
    Authors: 
    Ochoa, Amelia; López, Laura; De Groot, Huub;
    Publisher: Zenodo
    Project: EC | SUNRISE (816336), EC | SUNRISE (816336)

    The Data Management Plan (DMP) presents the main elements of the data management policy used by the Consortium during the CSA project and will evolve during the lifespan of this project to include additional datasets, and to adapt to changes, thereby providing at the end the basis for the data management of future actions. It describes the types of data, how they will be preserved and if they are shared or confidential.

  • Publication . Data Management Plan . 2019
    Open Access
    Authors: 
    Santos, Pedro;
    Publisher: Zenodo
    Project: EC | NEWA (618122), EC | NEWA (618122)

    We present here the Data Management Plan for my PhD project. A major part of the project involved the planning and execution of a full-scale wind mapping experiment called the Alaiz Experiment (ALEX17). This document outlines the main objectives of the project, the data collection, data storage, documentation of the experiment, data sharing strategies and the long-term preservation of the dataset.

  • Open Access English
    Authors: 
    REEEM Project;
    Publisher: Zenodo
    Project: EC | REEEM (691739), EC | REEEM (691739)

    The Data Management Plans (DMP) constitutes a deliverable of the project. It aims at providing a clear picture of how the project manages data and metadata. The DMP describes the data management life cycle for the data to be collected, processed and/or generated by this Horizon 2020 project.

  • Open Access
    Authors: 
    Hannah Williams; Stuart McLelland;
    Publisher: Zenodo
    Project: EC | HYDRALAB-PLUS (654110), EC | HYDRALAB-PLUS (654110)

    Data Storage report from Hydralab+ Experiments: HY+HULL-01-TES

  • Open Access English
    Authors: 
    Traynor, Cath;
    Publisher: Pensoft Publishers

    The 'Empowering Indigenous Peoples and Knowledge Systems Related to Climate Change and Intellectual Property Rights' project examines processes of open and collaborative science related to indigenous peoples knowledge, climate change and intellectual property rights. It assumes and challenges practices of open science as a process, one that should involve modes of being both open and closed. The project takes history into account when considering how indigenous peoples' are producing knowledge related to climate change and how such knowledge maybe characterized as indigenous peoples' intellectual property and/or impacted by dominant intellectual property regimes. The central questions the research is addressing are: (i) How is climate change impacting indigenous Nama and Griqua communities? (ii) How are these communities producing indigenous knowledge related to addressing climate change and offering alternative strategies? (iii)How do indigenous Nama and Griqua characterize their knowledge as indigenous intellectual property (or not) and decide to openly share their knowledge (or not) internally or with the outside public? (iv) How and what types of laws and policies (including intellectual property rights) promote and/or hinder these indigenous strategies and open collaboration with the public? The data are being collected and created to answer these main questions. Furthermore, the researchers are critically tracking the research process itself and this data will be scrutinized to provide information on the open and collaborative science process and dilemmas and tensions around openness issues.

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