scholarly journals The Role of Information Management for the Sustainable Conservation of Cultural Heritage

2021 ◽  
Vol 13 (8) ◽  
pp. 4325
Author(s):  
Jaione Korro Bañuelos ◽  
Álvaro Rodríguez Miranda ◽  
José Manuel Valle-Melón ◽  
Ainara Zornoza-Indart ◽  
Manuel Castellano-Román ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Information Management ◽  
Spatial Data ◽  
Open Data ◽  
Regional Government ◽  
Data Infrastructure ◽  
Preventive Conservation ◽  
Information Models ◽  
Wild Grapevine ◽  
Concept Of Information

Central to the entire discipline of heritage restoration and conservation is the concept of information management. Nevertheless, traditionally, conservation and restoration has been a poorly documented discipline, which has led not only to a lack of standardization and awareness about the processes carried out in the past, but also poses problems both when new restoration works are necessary and for the preventive conservation of the elements of heritage. This study sets out to propose a conceptual framework to explore the relationship between conservation of heritage and information management on the basis of case studies; in particular: a spatial data infrastructure (SDI) of a regional government concerning an endangered plant (wild grapevine) with an important potential for cultural and touristic uses in a wine-making region; an open data guide—the Digital Guide of Andalusian Cultural Heritage; a university repository connected to Europeana, which contains reports and outcomes of projects of geometric documentation of elements of heritage; a repository of an organization in charge of the protection and care of the heritage; and finally, two examples of the use of heritage building information models (HBIM) in complex monuments. After discussing the characteristics of each case, this paper concludes that, although the availability of information and tools is growing, further progress is still necessary concerning the interoperability, outreach and reuse of the different solutions.

scholarly journals The opendata geoportal of the Lamma Consortium

2016 ◽  
Author(s):  
Manuela Corongiu ◽  
Riccardo Mari ◽  
Raffaella Ferrari ◽  
Lorenzo Bottai ◽  
Valentina Grasso ◽  
...  
Keyword(s):  
Open Source ◽  
Spatial Data ◽  
Information Source ◽  
Open Data ◽  
Weather Forecast ◽  
Regional Government ◽  
Data Infrastructure ◽  
Creative Commons ◽  
Data Platform ◽  
Data Portal

The new Lamma Open Data platform (http://dati.lamma.toscana.it) allows data download related to information delivered / managed by the Consortium, encouraging the reuse both at technical and legal level. The datasets, over 220, belong to the weather forecast and geospatial topics above all, but they are in continuous updating, both spatial and no spatial (such as administrative documentation). Lamma open data platform integrates in a harmonised interface, most off the spatial dataset already available through the Lamma geoportal (http://geoportale.lamma.rete.toscana.it/MapStore/public/), now available for download as open data. The particularity of meteorological information is their organization in models, archives and formats according to the type of information, source of acquisition and level of elaboration. These formats are not all functional or directly manageable in their entirety, as data to be made available and immediately accessible. The datasets therefore require a preliminary phase of evaluation and analysis of the contents to identify the most appropriate elements for publication via filters and elaborations that maintain the significance of the variables to be highlighted. A synergic and integrated infrastructure for spatial data has been carried out through open source softwares. The LaMMA Geoportal integrates, in a single simple but powerful interface, the functionalities of research, display and download of the available data. This objective is to provide a ready-to-use tool for all users who do not intend to connect directly to the services offered or to download (and therefore reutilize) the data: in this case we relied on the software Open Source MapStore. The open data platform is directly connected to the Geonetwork metadata catalogue that in turn automatically provide a real-time ingestion of datasets in geoportal. The Lamma open data infrastructure has been implemented by the use of CKAN software. All the datasets are made available according to the CC-BY license - Attribution Creative Commons. That choice will allow an easier federation with Open Tuscany (http://dati.toscana.it/), the open data portal of Tuscany Regional Government that until now has hosted, as supplementary task, some Lamma Consortium datasets. The open data infrastructure has been implemented thanks to the Life+IMAGINE European contribution and with the support of the Geosolutions company.

scholarly journals The Open Data GeoPortal of the Lamma Consortium

2016 ◽  
Author(s):  
Manuela Corongiu ◽  
Riccardo Mari ◽  
Raffaella Ferrari ◽  
Lorenzo Bottai ◽  
Valentina Grasso ◽  
...  
Keyword(s):  
Open Source ◽  
Spatial Data ◽  
Information Source ◽  
Open Data ◽  
Weather Forecast ◽  
Regional Government ◽  
Data Infrastructure ◽  
Creative Commons ◽  
Data Platform ◽  
Data Portal

The new Lamma Open Data platform (http://dati.lamma.toscana.it) allows data download related to information delivered / managed by the Consortium, encouraging the reuse both at technical and legal level. The datasets, over 220, belong to the weather forecast and geospatial topics above all, but they are in continuous updating, both spatial and no spatial (such as administrative documentation). Lamma open data platform integrates in a harmonised interface, most off the spatial dataset already available through the Lamma geoportal (http://geoportale.lamma.rete.toscana.it/MapStore/public/), now available for download as open data. The particularity of meteorological information is their organization in models, archives and formats according to the type of information, source of acquisition and level of elaboration. These formats are not all functional or directly manageable in their entirety, as data to be made available and immediately accessible. The datasets therefore require a preliminary phase of evaluation and analysis of the contents to identify the most appropriate elements for publication via filters and elaborations that maintain the significance of the variables to be highlighted. A synergic and integrated infrastructure for spatial data has been carried out through open source softwares. The LaMMA Geoportal integrates, in a single simple but powerful interface, the functionalities of research, display and download of the available data. This objective is to provide a ready-to-use tool for all users who do not intend to connect directly to the services offered or to download (and therefore reutilize) the data: in this case we relied on the software Open Source MapStore. The open data platform is directly connected to the Geonetwork metadata catalogue that in turn automatically provide a real-time ingestion of datasets in geoportal. The Lamma open data infrastructure has been implemented by the use of CKAN software. All the datasets are made available according to the CC-BY license - Attribution Creative Commons. That choice will allow an easier federation with Open Tuscany (http://dati.toscana.it/), the open data portal of Tuscany Regional Government that until now has hosted, as supplementary task, some Lamma Consortium datasets. The open data infrastructure has been implemented thanks to the Life+IMAGINE European contribution and with the support of the Geosolutions company.

Factors influencing integrated information management: Spatial data infrastructure in Pakistan

2021 ◽  
pp. 026666692110484
Author(s):  
Asmat Ali ◽  
Muhammad Imran ◽  
Munazza Jabeen ◽  
Zahir Ali ◽  
Syed Amer Mahmood
Keyword(s):  
Information Management ◽  
Spatial Data ◽  
Structural Equation ◽  
Explanatory Power ◽  
Primary Data ◽  
Equation Modeling ◽  
Geospatial Information ◽  
Data Infrastructure ◽  
Significance Level ◽  
Retrieval Processes

Spatial data is one of the core components in all information retrieval processes for decision-making. Spatial data acquisition consumes enormous monetary resources and time. The Integrated Geospatial Information Framework (IGIF) provides a basis and guide for developing, integrating, strengthening, and maximizing geospatial information management and related resources in all countries. To this, governments all over the world are establishing national spatial data infrastructures (SDIs). However, such initiatives face a considerable amount of resistance as organizations often do not want to share their data assets. The present study investigates these barriers in the establishment of national SDI in Pakistan. The constraints studied through the IGIF pathways and past studies were adapted via a pilot study and conceptualized in a hypothesized model. We collected primary data via the administration of 520 questionnaire surveys to 280 public and private organizations. Partial least squares structural equation modeling (PLS-SEM) was applied to statistically confirm the conceptual model of the barriers to disseminating spatial data. The results indicate institutional barriers from the absence of national data policy, lack of specified roles of stakeholders, poor inter-organizational coordination, missing data-sharing policy, and weak organizational partnerships, with coefficients 0.26, 1.555, 1.305, 8.288, and 0.136, respectively, at the p < 0.001 significance level. The PLS-SEM R2 0.65 indicates a good explanatory power of the model. The methodology developed in the present study will allow devising more sustainable policies for spatial data management and dissemination in Pakistan and beyond.

scholarly journals USING PARTICIPATORY APPROACH TO IMPROVE AVAILABILITY OF SPATIAL DATA FOR LOCAL GOVERNMENT

2016 ◽  
Vol III-4/W1 ◽  
pp. 139-144
Author(s):  
T. Kliment ◽  
V. Cetl ◽  
H. Tomič ◽  
J. Lisiak ◽  
M. Kliment
Keyword(s):  
Spatial Data ◽  
Local Governments ◽  
Local Level ◽  
Property Tax ◽  
Open Data ◽  
Quality Level ◽  
Tax Rates ◽  
Geospatial Information ◽  
Data Infrastructure ◽  
Participatory Gis

Nowadays, the availability of authoritative geospatial features of various data themes is becoming wider on global, regional and national levels. The reason is existence of legislative frameworks for public sector information and related spatial data infrastructure implementations, emergence of support for initiatives as open data, big data ensuring that online geospatial information are made available to digital single market, entrepreneurs and public bodies on both national and local level. However, the availability of authoritative reference spatial data linking the geographic representation of the properties and their owners are still missing in an appropriate quantity and quality level, even though this data represent fundamental input for local governments regarding the register of buildings used for property tax calculations, identification of illegal buildings, etc. We propose a methodology to improve this situation by applying the principles of participatory GIS and VGI used to collect observations, update authoritative datasets and verify the newly developed datasets of areas of buildings used to calculate property tax rates issued to their owners. The case study was performed within the district of the City of Požega in eastern Croatia in the summer 2015 and resulted in a total number of 16072 updated and newly identified objects made available online for quality verification by citizens using open source geospatial technologies.

scholarly journals Developing a GIS of Hazards for Canadian Cultural Institutions

2018 ◽  
Vol 2 ◽  
pp. e26305
Author(s):  
Tom Strang
Keyword(s):  
Cultural Heritage ◽  
Energy Use ◽  
Open Data ◽  
Relative Magnitude ◽  
Related Factors ◽  
Preventive Conservation ◽  
Federal Initiatives ◽  
Statistics Canada ◽  
Demographic Shifts ◽  
Heating Degree Days

The Canadian Conservation Institute (CCI) has developed a Geographic Information System (GIS) of hazards for Canadian cultural heritage institutions. The greatly increased access to open data is changing how advisory bodies like the CCI and the public can access and share information. For the purpose of investigating how a GIS approach can assist the CCI with its mandate to improve the preservation of collections, a map layer of cultural heritage institutions across Canada has been assembled and continues to be upgraded for accuracy, inclusion and detail (Fig. 1). This was combined with a collation of hazard layers; a partial list includes: seismic risk, notably expectations of earthquake severity tied to improvements in the national building code, tsunami exposure, wildfire data, hurricane, tornado, lightning density, pest distribution, and energy use indicators such as heating degree days and climate norm data. The platform allows examination of expectations around climate change driven risks such as sea-level rise, storm-incursions, permafrost melt. The GIS approach will also allow reassessments around expected changes to flood risk maps issued by jurisdictions, as well as Statistics Canada layers on population related factors such as changes in numbers of local populations, income and demographic shifts which can be stressors or opportunities. Sources have been drawn from federal, provincial, municipal, and academic evaluations of hazards, which now are more commonly published as GIS products. Mapping Canadian heritage institution's within a GIS improves our ability to: visualise and interpret to clients the relative magnitude of their local hazards, make ties to more refined local analyses, and show adjacencies to mapped historical events. From a national perspective the GIS can generate profiles of aggregated institutional exposure to the hazards, and more readily identify sub-populations of institutions for which particular risks would rank higher or lower among their concerns. This improves CCI's preventive conservation advisory service's perspective on mappable risks for any institution we deal with as clients. Ultimately, through federal initiatives in open data, it is our intention that client groups can look at the GIS for the purpose of educating themselves on hazards they would want to prepare for.

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 Border handling as the most correct dynamic principle of the beginning of the register of immovable cultural heritage development

2021 ◽  
Author(s):  
V. Chabaniuk ◽  
◽  
O. Dyshlyk ◽  
K. Polyvach ◽  
V. Pioro ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Spatial Data ◽  
Registration System ◽  
Data Infrastructure ◽  
Spatial Characterization ◽  
The Moment ◽  
Heritage Development ◽  
Correct Dynamic ◽  
Hierarchy Of Systems

The correct start of work on developing a spatial data infrastructure of the domain of immovable cultural heritage (CH) of Ukraine is to model the entities boundaries of the CH in the most accessible way at the moment. Created models are used together with the necessary transformations, both in separate systems from the set of CH domain systems, and in several appropriately ordered systems from this set. Many of the required systems are organized into a hierarchy of systems called Atlas Geographic Information System: from public models of CH entities on the Internet to the State System for permanent registration or registration of CH objects under the Ministry of Culture and Information Policy (MCIP) of Ukraine. Border management includes support for the entire life cycle of the spatial characteristics of CH entity models – from random statement about the CH object to the transformation into an object of the registration system or even an object of the national register. It is shown that when defining boundaries, you need to be able to work with different spatial characterizations of the CH object. It is proved that this characterization can be started from available cartographic material, and not from the implementation of land management projects, as it is done in the case of spatial characterization of land parcels. The elements of the methodology are described, which allows to carry out the necessary spatial characterization of the CH objects in practice.

scholarly journals A Prototype Geospatial Knowledge Graph for National Topographic Mapping

2020 ◽  
Vol 2 ◽  
pp. 1-1
Author(s):  
Dalia E. Varanka
Keyword(s):  
Spatial Data ◽  
System Architecture ◽  
Open Data ◽  
Flat File ◽  
Data Infrastructure ◽  
Topographic Data ◽  
Body Of Knowledge ◽  
Data Formats ◽  
Abstract Knowledge ◽  
Data Semantics

Abstract. Knowledge graphs (KG) are a virtual layer connecting disparate databases into an interoperable framework. Though the application of KGs for enterprises are increasing, geospatial KG design is not common. This presentation describes U.S. Geological Survey (USGS) research to build KGs for integrating geospatial and non-spatial attribute semantics of topographic data. Those geographic information system databases are composed of various feature types and metadata attributes organized various themes and stored in different data formats, such as geodatabases, flat-file spreadsheets, and raster images. The system being created tests two research objectives: 1) the feasibility of semantic technology approaches for geospatial data within the context of national topographic data and 2) the contribution to building a body of knowledge about system architecture for geospatial ontologies and linked open data. This presentation discusses the context of topographic data semantics, the problem and aims of building the system, and the integrated KG framework. The basic workflow and operations of the system architecture consisting of open-source software are described. The architecture modifies existing software with unique solutions such as performing GeoSPAQL queries with Postgres, a relational table datastore, and a map interface with extensions to support linked data queries as browseable graphs. As public spatial data infrastructure, the system is made available as a Docker Container on GitHub.

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