scholarly journals An interoperable research data infrastructure to support climate service development

2018 ◽  
Vol 14 ◽  
pp. 335-340
Author(s):  
Tiziana De Filippis ◽  
Leandro Rocchi ◽  
Elena Rapisardi
Keyword(s):  
Spatial Data ◽  
Web Applications ◽  
National Research Council ◽  
Developed Countries ◽  
Scientific Data ◽  
Research Data ◽  
Service Development ◽  
Climate Services ◽  
Data Infrastructure ◽  
Climate Service

Abstract. Accessibility, availability, re-use and re-distribution of scientific data are prerequisites to build climate services across Europe. From this perspective the Institute of Biometeorology of the National Research Council (IBIMET-CNR), aiming at contributing to the sharing and integration of research data, has developed a research data infrastructure to support the scientific activities conducted in several national and international research projects. The proposed architecture uses open-source tools to ensure sustainability in the development and deployment of Web applications with geographic features and data analysis functionalities. The spatial data infrastructure components are organized in typical client–server architecture and interact from the data provider download data process to representation of the results to end users. The availability of structured raw data as customized information paves the way for building climate service purveyors to support adaptation, mitigation and risk management at different scales.This work is a bottom-up collaborative initiative between different IBIMET-CNR research units (e.g. geomatics and information and communication technology – ICT; agricultural sustainability; international cooperation in least developed countries – LDCs) that embrace the same approach for sharing and re-use of research data and informatics solutions based on co-design, co-development and co-evaluation among different actors to support the production and application of climate services. During the development phase of Web applications, different users (internal and external) were involved in the whole process so as to better define user needs and suggest the implementation of specific custom functionalities. Indeed, the services are addressed to researchers, academics, public institutions and agencies – practitioners who can access data and findings from recent research in the field of applied meteorology and climatology.

scholarly journals HELP - An Early warning dashboard System, built for the prevention, mitigation and assessment of disasters, with a flexible approach using open data and open source technologies

2016 ◽  
Author(s):  
Lorenzo Amato ◽  
Dimitri Dello Buono ◽  
Francesco Izzi ◽  
Giuseppe La Scaleia ◽  
Donato Maio
Keyword(s):  
Early Warning ◽  
Spatial Data ◽  
Emergency Preparedness ◽  
Risk Mitigation ◽  
Open Data ◽  
National Research Council ◽  
Civil Defense ◽  
Main Role ◽  
Cooperation Agreement ◽  
Data Infrastructure

H.E.L.P is an early warning dashboard system built for the prevention, mitigation and assessment of disasters, be they earthquakes, fires, or meteorological systems. It was built to be easily manageable, customizable and accessible to all users, to facilitate humanitarian and governmental response. In its essence it is an emergency preparedness web tool, which can be used for decision making for a better level of mitigation and response on any level.Risks or disasters are not events in our control, rather, they are situations to which we can better manage with a framework based on preparedness. The earlier and more precise the monitoring of hazards allow for faster response to manage and mitigate a disaster’s impact on a society, economy and environment.This is exactly what HELP offers, it plays a main role in the cycle of early warning and risk (Preparedness, Risk, Mitigation, and Resilience). It provides information in real time on events and hazards, allowing for the possibility to analyze the situation and find a solution whose outcome protects the most lives and has the least economic impact. As a tool it also provides the opportunity to respond to a hazard with resilience in mind, this means that not only does HELP prepare for and mitigate events, it can also be used to implement better organizational methods for future events, thus, minimizing overall risk. Providing people with the means to better be able to take care of themselves, lessening the effects of future hazards each and every time. HELP is a tool in a framework which was created to support governments in their efforts to protect their people, building their response efficiency and resilience. HELP (with the name of E.W.A.R.E. Early Warning and Awareness of Risks and Emergencies) was born as WFP (The World Food Program) and IMAA-CNR (Institute of Methodologies for Environmental Analysis of the National Research Council of Italy) entered into a Cooperation Agreement concerning the development of a Geo-Spatial Data Infrastructure System for the Palestinian Civil Defense with the aim of building an enhanced preparedness capacity in Palestine.HELP has a simple and flexible but very effective logic to perform the early warning: Watch to open data sources on risk themes (NASA satellite data, Weather Forecast, world wide seismic networks, etc); Apply (programmable) “intelligence” to detect critical situations, exceeding of thresholds, population potentially involved by events, etc; Highlight critical elements on the map; Send alerts to emergency managers.

scholarly journals HELP - An Early warning dashboard System, built for the prevention, mitigation and assessment of disasters, with a flexible approach using open data and open source technologies

2016 ◽  
Author(s):  
Lorenzo Amato ◽  
Dimitri Dello Buono ◽  
Francesco Izzi ◽  
Giuseppe La Scaleia ◽  
Donato Maio
Keyword(s):  
Early Warning ◽  
Spatial Data ◽  
Emergency Preparedness ◽  
Risk Mitigation ◽  
Open Data ◽  
National Research Council ◽  
Civil Defense ◽  
Main Role ◽  
Cooperation Agreement ◽  
Data Infrastructure

H.E.L.P is an early warning dashboard system built for the prevention, mitigation and assessment of disasters, be they earthquakes, fires, or meteorological systems. It was built to be easily manageable, customizable and accessible to all users, to facilitate humanitarian and governmental response. In its essence it is an emergency preparedness web tool, which can be used for decision making for a better level of mitigation and response on any level.Risks or disasters are not events in our control, rather, they are situations to which we can better manage with a framework based on preparedness. The earlier and more precise the monitoring of hazards allow for faster response to manage and mitigate a disaster’s impact on a society, economy and environment.This is exactly what HELP offers, it plays a main role in the cycle of early warning and risk (Preparedness, Risk, Mitigation, and Resilience). It provides information in real time on events and hazards, allowing for the possibility to analyze the situation and find a solution whose outcome protects the most lives and has the least economic impact. As a tool it also provides the opportunity to respond to a hazard with resilience in mind, this means that not only does HELP prepare for and mitigate events, it can also be used to implement better organizational methods for future events, thus, minimizing overall risk. Providing people with the means to better be able to take care of themselves, lessening the effects of future hazards each and every time. HELP is a tool in a framework which was created to support governments in their efforts to protect their people, building their response efficiency and resilience. HELP (with the name of E.W.A.R.E. Early Warning and Awareness of Risks and Emergencies) was born as WFP (The World Food Program) and IMAA-CNR (Institute of Methodologies for Environmental Analysis of the National Research Council of Italy) entered into a Cooperation Agreement concerning the development of a Geo-Spatial Data Infrastructure System for the Palestinian Civil Defense with the aim of building an enhanced preparedness capacity in Palestine.HELP has a simple and flexible but very effective logic to perform the early warning: Watch to open data sources on risk themes (NASA satellite data, Weather Forecast, world wide seismic networks, etc); Apply (programmable) “intelligence” to detect critical situations, exceeding of thresholds, population potentially involved by events, etc; Highlight critical elements on the map; Send alerts to emergency managers.

scholarly journals Data set of submerged sand deposits organised in an interoperable spatial data infrastructure (Western Sardinia, Mediterranean Sea)

2019 ◽  
Vol 11 (2) ◽  
pp. 515-527 ◽  
Author(s):  
Walter Brambilla ◽  
Alessandro Conforti ◽  
Simone Simeone ◽  
Paola Carrara ◽  
Simone Lanucara ◽  
...  
Keyword(s):  
Continental Shelf ◽  
Mediterranean Sea ◽  
Spatial Data ◽  
National Research Council ◽  
Western Mediterranean ◽  
Spatial Data Infrastructure ◽  
Depth Range ◽  
Data Set ◽  
Coastal System ◽  
Data Infrastructure

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.

scholarly journals Mapping the development and implementation of climate services in the Greater Horn of Africa

2021 ◽  
Author(s):  
Neha Mittal ◽  
Marta Bruno Soares ◽  
Mathias Venning ◽  
Scott Bremer
Keyword(s):  
Grey Literature ◽  
Value Added ◽  
Service Development ◽  
Future Research ◽  
Data Generation ◽  
Horn Of Africa ◽  
Climate Services ◽  
Agriculture Sector ◽  
Climate Service ◽  
Greater Horn Of Africa

<p>A plethora of programmes and projects focus on strengthening climate services in the Greater Horn of Africa (GHA); a region of great economic importance in a changing Africa. However, knowledge of how key elements of climate services development and implementation at different stages of the process are addressed in these initiatives is very limited. To overcome this gap, we pursued a systematic review of existing literature under the auspices of the H2020 CONFER project. We scope the academic and grey literature by focusing on initiatives that empirically demonstrate the value added at different stages of climate service development and implementation such as data generation, post-processing, tailoring, and re-packaging of information for communication. Our analysis takes stock of the evolution of climate services in GHA and provides a synoptic overview of the current landscape of climate services at seasonal and sub-seasonal time scales, and across sectors and geographical scales in the region. It highlights the current emphasis on the deployment of climate services in specific countries such as Kenya, Ethiopia and Uganda, while a strong thematic focus on services tailored for the agriculture sector. Our analysis also shows that while there is an increasing effort in tailoring and effectively communicating climate services through greater knowledge co-production, aspects such as accessibility, timeliness, and accuracy of climate services information remain key barriers to the uptake and use of such services. Finally, we identify opportunities for further improvement to the underlying processes of climate services development and implementation as well as future research and policy directions in this region of global importance.</p>

scholarly journals A Database for Long-Term Atmosphere-Surface Transfer Monitoring in Salento Peninsula (Southern Italy)

2013 ◽  
Vol 2013 ◽  
pp. 1-4 ◽  
Author(s):  
P. Martano ◽  
C. Elefante ◽  
F. Grasso
Keyword(s):  
Spatial Data ◽  
National Research Council ◽  
Fast Response ◽  
Environmental Data ◽  
Eddy Correlation ◽  
Reference Structure ◽  
University Campus ◽  
Web Database ◽  
Active Sensors ◽  
Data Infrastructure

The micrometeorological base of ISAC-CNR in Lecce, southeast of Italy, has been active since 2002, in collecting experimental data about surface-atmosphere transfer of momentum heat and water vapour. It operates in a suburban site inside the Salento University campus and has been improved along the past years in terms of active sensors to give a quite complete description of the soil-atmosphere vertical transfer. It is composed by a 16 m mast with fast response (eddy correlation) instrumentation and an ancillary automatic meteorological station collecting also soil data at 2 levels of depth. Fast response data are preprocessed in half-hour averaged satistics and stored in a web database. At present, the Lecce database is also a pilot reference structure for the Climate Change Section of the CNR-DTA GIIDA project (Integrated and Interoperative Management of Environmental Data project, Earth and Environment Department, National Research Council), aimed to build a spatial data infrastructure between different CNR-DTA structures collecting environmental data. It is also a data provider for the Hymex project database (Hydrological Mediterranean Experiment).

scholarly journals HELP - An Early warning dashboard System, built for the prevention, mitigation and assessment of disasters, with a flexible approach using open data and open source technologies

2016 ◽  
Author(s):  
Lorenzo Amato ◽  
Dimitri Dello Buono ◽  
Francesco Izzi ◽  
Giuseppe La Scaleia ◽  
Donato Maio
Keyword(s):  
Early Warning ◽  
Spatial Data ◽  
Emergency Preparedness ◽  
Risk Mitigation ◽  
Open Data ◽  
National Research Council ◽  
Civil Defense ◽  
Main Role ◽  
Cooperation Agreement ◽  
Data Infrastructure

H.E.L.P is an early warning dashboard system built for the prevention, mitigation and assessment of disasters, be they earthquakes, fires, or meteorological systems. It was built to be easily manageable, customizable and accessible to all users, to facilitate humanitarian and governmental response. In its essence it is an emergency preparedness web tool, which can be used for decision making for a better level of mitigation and response on any level.Risks or disasters are not events in our control, rather, they are situations to which we can better manage with a framework based on preparedness. The earlier and more precise the monitoring of hazards allow for faster response to manage and mitigate a disaster’s impact on a society, economy and environment.This is exactly what HELP offers, it plays a main role in the cycle of early warning and risk (Preparedness, Risk, Mitigation, and Resilience). It provides information in real time on events and hazards, allowing for the possibility to analyze the situation and find a solution whose outcome protects the most lives and has the least economic impact. As a tool it also provides the opportunity to respond to a hazard with resilience in mind, this means that not only does HELP prepare for and mitigate events, it can also be used to implement better organizational methods for future events, thus, minimizing overall risk. Providing people with the means to better be able to take care of themselves, lessening the effects of future hazards each and every time. HELP is a tool in a framework which was created to support governments in their efforts to protect their people, building their response efficiency and resilience. HELP (with the name of E.W.A.R.E. Early Warning and Awareness of Risks and Emergencies) was born as WFP (The World Food Program) and IMAA-CNR (Institute of Methodologies for Environmental Analysis of the National Research Council of Italy) entered into a Cooperation Agreement concerning the development of a Geo-Spatial Data Infrastructure System for the Palestinian Civil Defense with the aim of building an enhanced preparedness capacity in Palestine.HELP has a simple and flexible but very effective logic to perform the early warning: Watch to open data sources on risk themes (NASA satellite data, Weather Forecast, world wide seismic networks, etc); Apply (programmable) “intelligence” to detect critical situations, exceeding of thresholds, population potentially involved by events, etc; Highlight critical elements on the map; Send alerts to emergency managers.

User-Friendly Geoportal Interfaces for Geospatial Resource Discovery

2012 ◽  
pp. 261-276
Author(s):  
Victor Pascual Ayats
Keyword(s):  
User Interface ◽  
User Interfaces ◽  
Spatial Data ◽  
Web Applications ◽  
Resource Discovery ◽  
Spatial Data Infrastructure ◽  
Data Infrastructure ◽  
User Friendly

The Spatial Data Infrastructure of Catalonia (IDEC) was launched in 2002. From the beginning, the Metadata Catalog (MC) service has been considered as one of the main pieces of the infrastructure. Building a metadata catalog is important for any Spatial Data Infrastructure to foster resource interoperability and integration. In addition to organizing, classifying, and sorting metadata records, one of the hardest parts in the IDEC was to design web applications that allow users to easily discover and access such geospatial resources. This chapter reviews the different trends in building friendly user interfaces of web applications to search and discovery metadata records through the evolution of user interface of the IDEC Geoportal.

scholarly journals Planetary Cartography: Challenges for Mapping and Research Data Management

2021 ◽  
Author(s):  
Andrea Nass ◽  
Stephan van Gasselt ◽  
Alessandro Frigeri ◽  
Angelo Pio Rossi ◽  
Valentina Galluzzi
Keyword(s):  
Remote Sensing ◽  
Data Management ◽  
Spatial Data ◽  
White Paper ◽  
Planetary Science ◽  
Research Data ◽  
Data Infrastructure ◽  
Research Data Management ◽  
Cartographic Coordinates ◽  
Starting Point

<p>The aim of this contribution is to summarize recent activities in the field of Planetary Cartography by highlighting current issues the community is facing, and by discussing future research and development opportunities.</p><p>For this contribution we focus on (1) identifying and prioritizing needs of the planetary cartography community and the possible projected timeline to address these needs, (2) updating on ongoing work and activities in the field of planetary cartography across the globe, and (3) identifying areas of evolving technologies and innovations that could become interesting for the community in the planetary mapping sciences. The topics and discussion presented here also summarize outcome from community discussions and activities over the last years (e.g. [1-10]), and continue the initial discussion we have had during the last successful EGU session on Planetary Cartography and GIS in 2020.</p><p>In particular we would like to extend our discussion and put additional emphasis on aspects of map data re-use and research data management as well as on geodetic aspects of irregular bodies that will be target of future mission programs. We would like to invite cartographers, researchers and map-enthusiasts to join this community and to start thinking about how we can jointly solve some of these challenges.</p><p>[1] Di, K. et al (2020) Topographic mapping of the Moon in the 21th century: From hectometer to millimeter scales. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLIII-B3-2020, doi:10.5194/isprs-archives-XLIII-B3-2020-1117-2020.<br>[2] Hargitai, H. et al (2019) Chinese and Russian Language Equivalents of the IAU Gazetteer of Planetary Nomenclature: an Overview of Planetary Toponym Localization Methods, The Cartographic Journal, 56:4, 335-354, doi:10.1179/1743277413Y.0000000051.<br>[3] <span>Laura, J.R. et al (2017) Towards a </span><span>planetary spatial data infrastructure. ISPRS Journal of Geo-Information 6, 181.</span><br>[4] Naß, A. et al (2019) Status and future developments in planetary cartography<br>and mapping. In: Wu et. al. (ed.) Planetary Remote Sensing and Mapping, Taylor & Francis Group, London, ISBN 978-1-138-58415-0.<br>[5] Naß, A. et al (2020), GMAP Standard definition Document, 1st iteration, Europlanet H2024-RI deliverable, available at https://www.europlanet-gmap.eu/about-gmap/deliverables/.<br>[6] Naß, A. et al (submitted) Facilitating Reuse of Planetary Spatial Research Data – Conceptualizing an Open Map Repository as Part of a Planetary Research Data Infrastructure. Planetary and Space Science.<br>[7] Paganelli, F. et al (2020) The Need for Recommendations in Support of Planetary Bodies Cartographic Coordinates and Rotational Elements Standards, submitted to the Planetary Science and Astrobiology Decadal Survey White Paper 2023-2032.<br>[8] Radebaugh, J. et al (2020) Maximizing the Value of Solar System Data through Planetary Spatial Data Infrastructures, white paper submitted to the 2023–2032 Planetary Science and Astrobiology Decadal Survey.<br>[9] Semenzato, A. et al (2020) An Integrated Geologic Map of the Rembrandt Basin, on Mercury, as a Starting Point for Stratigraphic Analysis. Remote Sensing, 12(19), p.3213.<br>[10] Skinner, J.A. Jr. et al (2019) Planetary geologic mapping—program status and future needs. U.S. Geological Survey Open-File Report 2019–1012, 40 p., doi:10.3133/ofr20191012.</p>

scholarly journals One Archaeology: A Manifesto for the Systematic and Effective Use of Mapped Data from Archaeological Fieldwork and Research

Information ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 222 ◽  
Author(s):  
Peter McKeague ◽  
Anthony Corns ◽  
Åsa Larsson ◽  
Anne Moreau ◽  
Axel Posluschny ◽  
...  
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Economic Value ◽  
Research Data ◽  
Primary Data ◽  
Full Potential ◽  
Data Infrastructure ◽  
Efficient Data ◽  
Environmental Focus ◽  
Public Organisations

The Infrastructure for Spatial Information in Europe (INSPIRE) Directive (2007) requires public organisations across Europe to share environmentally-related spatial datasets to support decision making and management of the environment. Despite the environmental focus of INSPIRE, it offers limited guidance for archaeological datasets. Most primary data is created outside, but ultimately curated within, the public sector. As spatial evidence from fieldwork activities is not considered by the Directive, it overlooks a range of barriers to sharing data, such as project-based fieldwork, a lack of data standards, and formatting and licencing variations. This paper submits that these challenges are best addressed through the formalised management of primary research data through an archaeological Spatial Data Infrastructure (SDI). SDIs deliver more efficient data management and release economic value by saving time and money. Better stewardship of archaeological data will also lead to more informed research and stewardship of the historic environment. ARIADNE already provides a digital infrastructure for research data, but the landscape and spatial component has been largely overlooked. However, rather than developing a separate solution, the full potential of spatial data from archaeological research can and should be realised through ARIADNE.

User-Friendly Geoportal Interfaces for Geospatial Resource Discovery

2013 ◽  
pp. 465-479 ◽  
Author(s):  
Victor Pascual Ayats
Keyword(s):  
User Interface ◽  
User Interfaces ◽  
Spatial Data ◽  
Web Applications ◽  
Resource Discovery ◽  
Spatial Data Infrastructure ◽  
Data Infrastructure ◽  
User Friendly

The Spatial Data Infrastructure of Catalonia (IDEC) was launched in 2002. From the beginning, the Metadata Catalog (MC) service has been considered as one of the main pieces of the infrastructure. Building a metadata catalog is important for any Spatial Data Infrastructure to foster resource interoperability and integration. In addition to organizing, classifying, and sorting metadata records, one of the hardest parts in the IDEC was to design web applications that allow users to easily discover and access such geospatial resources. This chapter reviews the different trends in building friendly user interfaces of web applications to search and discovery metadata records through the evolution of user interface of the IDEC Geoportal.

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