ADRIPLAN Data Policy

This document sets the policy for accessing data and information gathered by ADRIPLAN and will ensure that data are handled in a consistent and transparent manner. The policy aims to strike a balance between the rights of investigators and the need for widespread access through the free and unrestricted sharing and exchange of ADRIPLAN data, meta-data and data products. In agreeing to share, data providers need to have assurance that their data are properly handled, disseminated and acknowledged following similar principles and rules across countries and stakeholders. This policy covers data, metadata and products on maritime uses, environmental conditions and planning documents which are acquired, processed and disseminated in the framework of ADRIPLAN. ADRIPLAN doesn't collect any new data so the information it uses depends on the contribution from partners, according to their role in the project and the provisions of the Grant Agreement and the Partnership Agreement, and on data acquired from external sources. Part of the source data are provided directly by ADRIPLAN partners and a large part of data are made available by other organizations. Independent data policies associated to datasets and databases merged in the framework of ADRIPLAN will be included and correct citations will be assured. From source data, added value data products are created as part of ADRIPLAN’s duties. The main goals of this data policy are: to allow ADRIPLAN's partners to discover, access, process and use as many data as possible to develop valuable MSP plans proposals, through the ADRIPLAN Data Portal to provide partners with pertinent, sound, updated, and accurate information to capitalize knowledge, efforts and investments from existing projects and national and international experiences to ensure acknowledgement to owners and producers of the data and information they will provide to ADRIPLAN to ensure that the conditions that are applied to the provided data will be documented and respected in the ADRIPLAN Data Portal to promote the widest possible dissemination and reuse of ADRIPLAN's products and outputs, not only to partners in the project but also to stakeholders, public administrations and citizens to adopt and promote the best and the most open international rules and licenses for sharing and reuse of dat

Collaborative mapping response to disasters through OpenStreetMap: the case of the 2016 Italian earthquake

Digital humanitarians represent the current generation of volunteers providing timely contributions in the form of digital map data in the aftermath of natural disasters. Starting from the tragic 2010 earthquake in Haiti and thanks to the success of the OpenStreetMap (OSM) project, the presence and coordination of these volunteers have grown incredibly over the past years. This work investigates the dynamics of the mapping process and the nature of the OSM volunteers who contributed map data after the 2016 earthquake in Central Italy. The analyses show that the existing OSM users were the majority of those contributing to the mapping activity, with less edits performed by new users. The collaborative mapping process was efficiently coordinated through a dedicated platform and the area hit by the earthquake was significantly edited in OSM after the disaster

Modeling the inter-annual variability of salinity in the lagoon of Venice in relation to the water framework directive typologies

The Water Framework Directive (2000/60/EC) requires member states to classify and enhance the ecological quality of water bodies in accordance with their type. To estimate the effect on type of the natural variability of lagoons, we applied a two-dimensional hydrodynamic model to the lagoon of Venice. The model calculated the mean annual spatial distributions of two variables: salinity and residence time. The standard deviation of salinity was also included, in order to estimate the variation of salinity values around the mean, which is associated with the instability of the mean salinity value. A highly detailed numerical grid was calibrated and high-frequency tributary discharge data were used. The simulations, under realistic forcing conditions, are based on the years 2003 and 2005. The former was characterized by low precipitation, around 30% less than the typical value. A comparison of model results and measurements shows the high reliability of the model in reproducing the spatial distribution and temporal evolution of salinity. We found strong inter-annual variation in salinity, standard deviation of salinity and residence time. The effect on the typing process is that the most representative types shift from one category to another. On the basis of the spatial patterns of the variables and their superposition, we identi fi ed types that described the bulk of the lagoon. This numerical tool offers support for lagoon management on various levels, in terms of both WFD requirements and other applications, by: (1) providing unbiased and objective zoning indications for the basin; (2) evaluating the response of water quality elements; (3) establishing the reference status of a water body; and (4) establishing a hierarchical division of a lagoon that can be used to select an appropriate number of sampling stations for monitoring

Tools4MSP: an open source software package to support Maritime Spatial Planning

This paper presents the Tools4MSP software package, a Python-based Free and Open Source Software (FOSS) for geospatial analysis in support of Maritime Spatial Planning (MSP) and marine environmental management. The suite was initially developed within the ADRIPLAN data portal, that has been recently upgraded into the Tools4MSP Geoplatform (data.tools4msp.eu), an integrated web platform that supports MSP through the application of different tools, e.g., collaborative geospatial modelling of cumulative effects assessment (CEA) and marine use conflict (MUC) analysis. The package can be used as stand-alone library or as collaborative webtool, providing user-friendly interfaces appropriate to decision-makers, regional authorities, academics and MSP stakeholders. An effective MSP-oriented integrated system of web-based software, users and services is proposed. It includes four components: the "jats:italic"Tools4MSP Geoplatform"/jats:italic" for interoperable and collaborative sharing of geospatial datasets and for MSP-oriented analysis, the "jats:italic"Tools4MSP package as stand-alone library"/jats:italic" for advanced geospatial and statistical analysis, the "jats:italic"desktop applications"/jats:italic" to simplify data curation and the "jats:italic"third party data repositories"/jats:italic" for multidisciplinary and multilevel geospatial datasets integration. The paper presents an application example of the Tools4MSP GeoNode plugin and an example of Tools4MSP stand-alone library for CEA in the Adriatic Sea. The Tools4MSP and the developed software have been released as FOSS under the GPL 3 license and are currently under further development. Document type: Articl

Integrated Zoning for Aquaculture and Biodiversity using a Spatial Decision-Support Tool

Spatial decision-support tools can guide decision-makers towards knowledge-based spatial planning. Their application for multiple-objective zoning is beneficial for supporting the on-going Maritime Spatial Planning (MSP) process, in particular in areas of high density of uses like the Adriatic-Ionian region (AIR). In this work, we give contribution to the sustainable development of the aquaculture, as one of the main maritime activities for sustainable Blue Growth in the AIR. Aquaculture expansion should occur alongside the protection of biodiversity and the conservation of sites where aquaculture and its synergic uses can coexist. Planning for these objectives independently from one another has been shown to produce inefficiencies in costs, area, and conflicts across sectors. The objective of this research is to operationalize multi-objective zoning for aquaculture expansion and biodiversity protection (seabed habitats, marine mammals, seabirds and turtles species distribution, nursery and spawning areas of commercially important fish species). The area of analyses is the coastal area of the Emilia Romagna Region (Italian Northern Adriatic Sea). This area is the main producer of mussels in Italy and it is currently intensively crowded by several maritime uses, which are expected to grow over next years resulting in increase of conflicts and pressures on sensitive environments (Natura 2000 sites; Biological Protection zone). The decision support tool Marxan and its advanced version Marxan with Zones were applied to develop planning scenarios. Firstly, we prioritise biodiversity conservation, through Marxan, while minimizing conflicts with other anthropic uses. Secondly, we carry out an aquaculture suitability analysis using a multicriteria evaluation approach based on environmental, biological and socio-economic conditions. Next, we simultaneously prioritize both aquaculture and biodiversity, through Marxan with Zones, while minimizing impacts on seven other industries operating in the Emilia Romagna Region. We discuss an integrated zoning plan that meets targets for multiple objectives, and which adheres to several constraints regarding the location of aquaculture farms offshore in order to both allow the use of bigger technologies for mussel catch and minimize the impacts on coastal environments (pollution impact, visual impact). Our analysis can guide multiple stakeholders and decision-makers towards cost-efficient solutions that are scientifically based, thus contributing to the marine spatial planning process and sustainable growth in the Adriatic-Ionian region

Emerging approaches for data-driven innovation in Europe: Sandbox experiments on the governance of data and technology

Europe’s digital transformation of the economy and society is one of the priorities of the current Commission and is framed by the European strategy for data. This strategy aims at creating a single market for data through the establishment of a common European data space, based in turn on domain-specific data spaces in strategic sectors such as environment, agriculture, industry, health and transportation. Acknowledging the key role that emerging technologies and innovative approaches for data sharing and use can play to make European data spaces a reality, this document presents a set of experiments that explore emerging technologies and tools for data-driven innovation, and also deepen in the socio-technical factors and forces that occur in data-driven innovation. Experimental results shed some light in terms of lessons learned and practical recommendations towards the establishment of European data spaces

Multi-use of the sea:A wide array of opportunities from site-specific cases across Europe

<p><b>Comparison of MU Combinations:</b> (Top) ranked by Drivers—Highest to lowest, and (Bottom) ranked by Added Values—Highest to lowest.</p

OpenStreetMap as an emerging scientific field : reflections from OSM Science 2023

Editorial: Proceedings of the OSM Science at State of the Map Europe 202

Emerging approaches for data-driven innovation in Europe

Europe’s digital transformation of the economy and society is one of the priorities of the current Commission and is framed by the European strategy for data. This strategy aims at creating a single market for data through the establishment of a common European data space, based in turn on domain-specific data spaces in strategic sectors such as environment, agriculture, industry, health and transportation. Acknowledging the key role that emerging technologies and innovative approaches for data sharing and use can play to make European data spaces a reality, this document presents a set of experiments that explore emerging technologies and tools for data-driven innovation, and also deepen in the socio-technical factors and forces that occur in data-driven innovation. Experimental results shed some light in terms of lessons learned and practical recommendations towards the establishment of European data spaces