Usually, rural landscape characterization is implemented through geomatics techniques and subsequent production and analysis of geospatial data. Thanks to internet diffusion, practitioners and researchers can share data in the World Wide Web. Data sharing process can improve participatory planning processes and allow an easy comparison between different landscape areas. Sharing can be done with varying degrees of interoperability and different software tools, proprietary or open source. A widespread way to share geospatial data and metadata is by Spatial Data Infrastructures (SDI) taking advantage on Open Geospatial Consortium (OGC) standards. Anyway, the sharing of data by OGC service lacks in data harmonization and in semantic enablement, making difficult compare, search and analyze data given by different sources. Different data schemas and linguistic barrier hinder the usefulness of data obtained from different sources. In this study we present a novel data workflow implemented for sharing in an interoperable, harmonized and semantically enriched way multi-temporal land cover datasets collected in a previous landscape characterization researches.
Abstract. The expected global sea level rise by the year 2100 will determine adaptation
of the whole coastal system and the land retreat of the shoreline. Future
scenarios coupled with the improvement of mining technologies will favour
increased exploitation of sand deposits for nourishment, especially for urban
beaches and sandy coasts with lowlands behind them. The objective of the work
is to provide useful tools to support planning in the management of sand
deposits located on the continental shelf of Western Sardinia (western
Mediterranean Sea). The work has been realised through the integration of
data and information collected during several projects. Available data
consist of morpho-bathymetric data (multibeam) associated with morphoacoustic
(backscatter) data, collected in the depth range −25 to −700 m.
Extensive coverage of high-resolution seismic profiles (Chirp 3.5 kHz) has
been acquired along the continental shelf. Also, surface sediment samples
(Van Veen grab and box corer) and vibrocorers have been collected.
These data allow mapping of the submerged sand deposits with the
determination of their thickness and volume and their sedimentological
characteristics. Furthermore, it is possible to map the seabed
geomorphological features of the continental shelf of Western Sardinia. All
the available data (https://doi.org/10.1594/PANGAEA.895430) have been integrated and
organised in a geodatabase implemented through a GIS and the software suite
Geoinformation Enabling ToolkIT StarterKit®
(GET-IT), developed by researchers of the Italian National Research Council
for RITMARE project. GET-IT facilitates the creation of distributed nodes of
an interoperable spatial data infrastructure (SDI) and enables unskilled
researchers from various scientific domains to create their own Open
Geospatial Consortium (OGC) standard services for distributing geospatial
data, observations and metadata of sensors and data sets. Data distribution through standard services follows the guidelines of the
European Directive INSPIRE (DIRECTIVE 2007/2/EC); in particular, standard
metadata describe each map level, containing identifiers such as data type,
origin, property, quality, processing processes to foster data searching and
quality assessment.
The sharing of research data allows for information reuse and knowledge advancement but its realization is often a challenge and seldom successful in practice. We propose a workflow for the design of a User Support System (USS) aimed at tutoring research groups in data sharing by considering their social and domain backgrounds. Our engagement approach focuses on multidisciplinary geospatial research, particularly when interoperable data sharing is required. Specifically, we first characterize the research community on the basis of the behavior and competences in data management by its groups and then target the needs of the latter with specific facilities. We address for the first time in literature the issue of modeling research groups as targets of the USS and provide a roadmap to standardize USS activities across different communities. We describe the implementation of the workflow in the context of an Italian research project and we assess the impact of the USS in terms of increase in the number of nodes and resources in the project's data infrastructure, and of fulfilment of the expectations by the research groups.
Water quality is a multi-source, multi-purpose problem that needs exploiting observations, often taken by a number of heterogeneous bodies. This problem has been tackled within the Italian Long Term Ecological research network (LTER-Italy) in an experiment aimed at testing how ecological observations of mountain lakes water can be shared by OGC (Open Geospatial Consortium) standard services of the Sensor Web Enablement (SWE) initiative. A friendly and easy implementation of these services is fostered by the usage of the open source software Geoinformation Enabling Toolkit StarterKit ® (GET-IT). It has been used in the experiment to create SOS services, upload observations and create SensorML metadata of the involved sensors. This contribution describes the experiment and presents its results.
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