CORDIS provides links to public deliverables and publications of HORIZON projects.
Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .
Deliverables
Data analysis and management will include databases of seagrass structural variables, hydromorphological parameters related to seagrass bed development, scripts of data analysis, seagrass monitoring data used to calibrate and validate the predictive tool, etc. Data will be stored in electronic media (hard disks and a cloud server back-up) using standard file formats (Word, Excel, PNG, TXT, etc.). Project results and outputs will be shared through dissemination and communication activities. Data generation, access, and use, along with relevant issues regarding research outputs that may be generated or re-used will be described in detail in the Data Management Plan (DMP). Following the FAIR principle, data and other research outputs (computer scripts, databases, etc) will be available at the UPV repositories, the European Open Science Cloud (EOSC), and other public repositories, such as the International Oceanographic Data and Information Exchange (IODE) of the Intergovernmental Oceanographic Commission (IOC) of UNESCO and The European Marine Observation and Data Network (EMODnet - GitHub). Articles will preferably be published in open access form.
Communication, Dissemination & Exploitation Plan (opens in new window)* Dissemination of the research resultsDissemination actions will include seminars and courses to UPV students and researchers at different levels, and to a more specialised audience and private companies in national and international conferences, such as:- The 38th International Conference on Coastal Engineering (ICCE 2024), with thescientific community and private sector as the main target audience. In September 2024 (Rome). Key Indicator (KPI): 1 Oral presentation provided for 100 attendees.- The conference “XVII Jornadas Españolas de Ingeniería de Costas y Puertos”, being the scientific community, private companies and public administration the main target audience, In 2024, Spain. Key Indicator (KPI): 1 Oral presentation provided for 50 attendees.- Journal publications, with the scientific community and end-users as the target audience. In Journal Web sites/Social Media. Key Indicator (KPI): 4 journal papers.- Publications in Researchgate, with the scientific community as the target audience. In social media. Key Indicator (KPI): Reeds, Research Interest Score.- Publications in LinkedIn. For the scientific community and private companies as the target audience. In social media. Key Indicator (KPI): Shares, Recommended.- Seminaries and/or Courses for students and researchers at the UPV and at the IMEDEA. Key Indicator (KPI): Number of Participants, opinion surveys.All relevant findings, such as new specialised methods and techniques for data analysis, methodological approach, design factors of NbS, etc., will be distributed through JCR papers (e.g., Coastal Engineering, Ocean Engineering, Marine Environmental Research), book chapters, reports to the EU and publications on proceedings of conferences.The target audience includes the scientific community interested in innovative advances related to NbS, engineering consultancies as end-users of the project results to integrate them into their projects, increasing competitiveness, or the public administration in charge of coastal engineering projects. Ecological engineering consultants may also be interested in research on armour unit design that improves environmental performance.* Exploitation of resultsAfter the project, an open-source predictive tool for engineering use can be exploited to optimize the ecological design of breakwaters. No results will be protected with the aim to reach out the scientific community and potential users to further extend, improve and exploit the model, impact on policymaking and advance the line of research. It will be available at the UPV and public repositories, whose access will also be indicated in the publications. In the last phase and beyond the duration of the project, demonstration courses on the use of the predictive tool will be developed to promote its use among engineering consultancies, researchers and other end-users interested in the model, enhancing further internal research, collaborative research projects and spin-offs. The methodology approach used for the construction of the predictive tool will be extendable for application to other coasts with different seagrass species distribution. The project results will also contribute to improve the techniques of analysis on interdisciplinary studies and develop efficient seagrass monitoring programs. In particular, the follow-up of these monitoring programs during the lifetime of breakwaters will provide new data for the continuous revision and improvement of the first predictive tool obtained in this project.* Communication and public engagementCommunication actions will include activities designed for the general public: Pint of Science, TEDx Valencia, conferences at UPV, use of social media (Facebook), article in a newspaper, and participation in Open door communication actions for students. The aim is to generate interest in young people and society in general about the importance of coastal engineering to maintain the quality of our beaches, the advance
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