52 research outputs found

    Standardized Symbology for MSP, delivered Styled Layer Descriptor for MSP INSPIRE Data model

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    Es una presentación oral sobre los trabajos realizados por personal del IEO, en relación a la elaboración de una "Style Layer Descriptor" SLD, que permite asociar una simbología común a los objetos existentes en el MSP INSPIRE Data model, desarrollado por ECOACUA.Se trata de una comunicación oral presentada en el Workshop MS11: Ready to use MSP products, enmarcado en el proyecto MSP-OR. Advancing Maritime Spatial Planning in Outermost Regions. En este workshop se muestras productos generados en otros proyectos de MSP que son de utilidad. En esta presentación se exponen los trabajos de elaboración de una SLD (Style Layer Descriptor) con el objetivo de estandarizar la simbología para el MSP INSPIRE Data model, realizados en el proyecto MARSP.MINISTERIO DE CIENCIA E INNOVACIÓN. CSIC. CN INSTITUTO ESPAÑOL DE OCEANOGRAFÍA. UNION EUROPEA

    Maritime Spatial Planning INSPIRE data model

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    Poster para CongresoThe Maritime Spatial Planning (MSP) INSPIRE data model concept has been developing from 2014, applying Infrastructure for spatial information in Europe Directive 2007/2/EC (INSPIRE) data management concepts for marine planning, through the Marine Pilot project (EC Joint Research Centre 2014-2016) and continuing with the PLASMAR project (INTERREG–V 2017-2020). The results and findings delivered have been published in the paper “Maritime spatial planning supported by infrastructure for spatial information in Europe (INSPIRE)” (Abramic et al., 2018). Currently, there are difficulties in harmonising products, visions, maps and frameworks of maritime spatial plans delivered by countries sharing the same marine (sub)region. This is mainly due to the fact that maritime plans do not use a common symbology and data structure to describe maritime activities. A solution for this issue is to apply on a marine spatial plans, INSPIRE standards for data sets, layers and portrayals. The MarSP project was a perfect opportunity to finalise conceptual data model development and, what is more important, to test results applying it on the real use cases, developed in the Macaronesia (Azores, Madeira, Canaries) MSP process. Initially, the INSPIRE data model for terrestrial planning (Planned Land Use, Figure 1) was tested to see if it could be applied for MSP. Tests pointed out that the terrestrial data model is robust, and can map MSP’s, but it tends to lose detail and specific information on marine uses. To be applied for MSP, the Planned Land Use data model needs to be adapted for planning of the maritime activities in the marine space. Conceptual model was analyzed, adapted, applying data modeling techniques, adjusting for MSP requirements: 1. Developed conceptual MSP data model, extending Planned Land use, using Unified Model Language (Figure 2); 2. Extending spatial scope of the data model - from two-dimensional land planning to the three dimensions planning. Extended structure includes maritime activities within the sea surface, water column, seabed and subsoil, when land model consists mainly of land surface planning; 3. Developed specific maritime uses classification (including register), extending Hierarchical INSPIRE Land Use classification (HILUCS); 4. Developed MSP data model templates, using simplified and feature complex spatial data architectures. Different type of codification templates, for advanced, standard and rookie GIS users (gml, GeoPackage, Shapfile, available at Canaries MSP platform); 5. Styled Layer Descriptor (color & simbology layout) for MSP, based on International Hydrographic Organization standards. 6. Data specification document v1.0 for Maritime Spatial Planning INSPIRE data model MarSP 2nd capacity building workshop was a great opportunity to test MSP data model results. Participants were trained on how to apply MSP data model on selected use case (Madeira MSP draft), during the “hands on” session, discussing potential issues and technical solutions.MarS

    Promoting FAIRness in marine data at Centro Nacional Instituto Español de Oceanografía

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    The Spanish Institute of Oceanography is responsible, among other aspects, for scientifc and technical advice for the Government’s fsheries policy as well as for the protection and sustainability of the marine environment. In this task, it generates a large amount of oceanographic data characterized by its spatial dispersion during acquisition as well as by its diferent typology. The purpose of both the National Oceanographic Data Center and the GIS team is to safeguard data and to disclose what data exists and where, how and when it has been acquired and, in addition, to provide access to that data through the collaboration with diferent international data infrastructures like EMODnet or SeaDataNet. To this end, the data and metadata are subjected to quality control and formatted for integration into a national Spatial Data Infrastructure (SDI). This SDI has a GeoNetwork catalogue with ~ 1750 oceanographic campaigns, together with (meta)data and services that are continuously being revised and incorporated. All this with the ultimate goal of making the data increasingly FAIR.Peer Reviewe

    Promoting FAIRness in marine data at Centro Nacional Instituto Español de Oceanografía

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    The Spanish Institute of Oceanography is responsible, among other aspects, for scienti c and technical advice for the Government's sheries policy as well as for the protection and sustainability of the marine environment. In this task, it generates a large amount of oceanographic data characterized by its spatial dispersion during acquisition as well as by its di erent typology. The purpose of both the National Oceanographic Data Center and the GIS team is to safeguard data and to disclose what data exists and where, how and when it has been acquired and, in addition, to provide access to that data through the collaboration with di erent international data infrastructures like EMODnet or SeaDataNet. To this end, the data and metadata are subjected to quality control and formatted for integration into a national Spatial Data Infrastructure (SDI). This SDI has a GeoNetwork catalogue with ~ 1750 oceanographic campaigns, together with (meta)data and services that are continuously being revised and incorporated. All this with the ultimate goal of making the data increasingly FAIR

    Database of spatial distribution of non indigenous species in Spanish marine waters

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    Research in marine Spanish waters are focused on several actions to achieve an effectively management on protected areas, with the active participation of the stakeholders and research as basic tools for decision-making. Among these actions, there is one about the knowledge and control on NIS. One of its objectives is the creation of NIS factsheets, which are going to be added to the National Marine Biodiversity Geographical System (GIS) providing complementary information about taxonomic classification, common names, taxonomic synonyms, species illustrations, identification morphological characters, habitat in the native and introduced regions, biological and ecological traits, GenBank DNA sequences, world distribution, first record and evolution in the introduced areas, likely pathways of introduction, effects in the habitats and interaction with native species, and potential management measures to apply. The database will also provide data for (1) the European online platforms, (2) the environmental assessment for the Descriptor 2 (D2-NIS) of the EU Marine Strategy Framework Directive (MSFD), as well as (3) supporting decisions made by stakeholders. It is the result of extensive collaboration among scientist, manager’s and citizen science in the Spanish North-Atlantic, South-Atlantic, Gibraltar Strait-Alboran, Levantine-Balearic and Canary Islands marine divisions, providing an updated overview of the spatial distribution of relevant extended and invasive NIS of recent and established NIS introduced by maritime transport and aquaculture pathways, as well as on cryptogenic or native species in expansion due to the climatic water warming trend

    Healthcare workers hospitalized due to COVID-19 have no higher risk of death than general population. Data from the Spanish SEMI-COVID-19 Registry

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    Aim To determine whether healthcare workers (HCW) hospitalized in Spain due to COVID-19 have a worse prognosis than non-healthcare workers (NHCW). Methods Observational cohort study based on the SEMI-COVID-19 Registry, a nationwide registry that collects sociodemographic, clinical, laboratory, and treatment data on patients hospitalised with COVID-19 in Spain. Patients aged 20-65 years were selected. A multivariate logistic regression model was performed to identify factors associated with mortality. Results As of 22 May 2020, 4393 patients were included, of whom 419 (9.5%) were HCW. Median (interquartile range) age of HCW was 52 (15) years and 62.4% were women. Prevalence of comorbidities and severe radiological findings upon admission were less frequent in HCW. There were no difference in need of respiratory support and admission to intensive care unit, but occurrence of sepsis and in-hospital mortality was lower in HCW (1.7% vs. 3.9%; p = 0.024 and 0.7% vs. 4.8%; p<0.001 respectively). Age, male sex and comorbidity, were independently associated with higher in-hospital mortality and healthcare working with lower mortality (OR 0.211, 95%CI 0.067-0.667, p = 0.008). 30-days survival was higher in HCW (0.968 vs. 0.851 p<0.001). Conclusions Hospitalized COVID-19 HCW had fewer comorbidities and a better prognosis than NHCW. Our results suggest that professional exposure to COVID-19 in HCW does not carry more clinical severity nor mortality

    Challenge B: Human sciences in transition scenarios

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    Coordinators: Josep Martí Pérez (IMF, CSIC), Idoia Murga Castro (IH, CSIC).This challenge is formulated in terms of “humanities in transition,” that is, their approach and articulation in the face of the changes they must undergo to achieve the social weight that, due to their intrinsic relevance, should correspond to them. Faced with these situations that would demand a reinforcement in research and dissemination in diverse aspects of the humanities, from multiple perspectives, paradoxically an adverse panorama is drawn for the development and dissemination of humanistic knowledge, which concerns different factors. Some are related to the consideration of the area of knowledge itself, its organization within the scientific system, the questioning of its own limits, and the interaction with another knowledge. Considering current transition scenarios does not mean having to abandon old objectives, but it adds to the work conducted new objects of study closely related to current reality, such as: the informational revolution; the relations with the ecosystem and the environmental crisis; globalization; the intensification of human mobility and migration flows; the growing economic and social inequality; the frictions derived from the articulation of collective identities; the decolonization of discourses; demographic dynamics; integration of technological advances; and viability and support for alternative models of society.Peer reviewe
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