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The OGC Collaborative Solutions and Innovation Program’s aim is to solve the biggest challenges in location. Together, we are exploring the future of climate, disasters, defense and intelligence, and more.
ACCORD will develop a semantic framework for European digital building permitting processes, regulations, data and tools. This
framework will drive rule formalization and integration of existing compliance tools as microservices. Solutions and tools are to be
developed, providing consistency, interoperability and reliability with national regulatory frameworks, processes and standards. The
solutions are implemented and demonstrated across construction projects in various EU regulatory contexts: UK, Finland, Estonia,
Germany and Spain.
The Horizon Europe USAGE project (Urban Data Space for Green Deal) aims at providing solutions and mechanisms for making city-level environmental and climate data available to everyone based on FAIR principles (findable, accessible, interoperable and reusable data). USAGE will support the implementation of the European strategy for data and various European Green Deal priority actions at the level where climate change is mostly felt: urban areas.
‘Change toolkit for digital building permit’ (CHEK) will enable the development and uptake of digital methods and tools for building permits, based on standardised and integrated city and building digital data.
A toolkit to support the shift from the traditional paper-based process to a digital one will be provided, considering the different issues related to digitalisation. Standard-based information requirements proposal and templates will be developed for Building Information Models (BIM) and (3D) geoinformation. A modular web APIs-based architecture for managing and processing software will be developed and tested. A roadmap for change within institutions will be developed and supported. Finally, a suitable training will be developed to foster the upskilling of involved operators to the use of the new interoperable digital solutions. The results will be developed and demonstrated in Italy, Portugal and Czech Republic as well as in further interested municipalities involved in the Advisory Board or CHEK community. Modularity and standardisation of solutions will enable replicability in any country and context.
OGC Disaster Pilot: Apply spatial data sharing standards together with Web technologies and cloud computing so that the responsible stakeholders can work together wherever they are located, use relevant data wherever they are stored, and manage every phase of a disaster at any scale wherever it threatens. In a global, cloud-scale disaster information ecosystem, awareness of threats, vulnerabilities, and impacts can be fostered and shared through joint development of workflow recipes that integrate and transform analysis-ready observation and prediction data (ARD) into decision ready indicators (DRI). Indicator workflows, ready to run and adaptable to each situation, provide the guidance that the right people at the right time in the right place need to make decisions, take actions, and improve disaster outcomes.
The DEMETER Project is a large-scale deployment of farmer centric interoperable smart farming-IoT based platforms delivered through a series of 20 pilots across 18 countries (15 States in the EU). OGC’s role in DEMETER is to coordinate the pilots and facilitate the communication between pilots and work packages. DEMETER is funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 857202
OGC Testbeds are OGC’s largest Innovation Program initiatives. Testbeds boost research and development to make location data and information more FAIR: Findable, Accessible, Interoperable, and Re-Usable. Testbeds provide a unique opportunity for sponsors to tackle location data and processing challenges together with the world’s leading geospatial IT experts.
OGC Testbeds are OGC’s largest Collaborative Solution and Innovation (COSI) Program initiatives The COSI Program is formerly known as the Innovation Program. Testbeds boost research and development to make location data and information more FAIR: Findable, Accessible, Interoperable, and Re-Usable. Additionally, testbeds provide a unique opportunity for sponsors to tackle location data and processing challenges together with the world’s leading geospatial IT experts.
The third phase of the Federated Marine SDI Demonstration Pilot focuses on land/sea use cases. It extends the use cases developed in the second phase to add the Arctic region as a new location to the demonstration scenarios. Its overreaching scenario will demonstrate the technology and data used with OGC, IHO, and other community standards in response to a grounding event and the evacuation of a cruise ship or research vessel in the Arctic.
The objective of this pilot is to accelerate our collective readiness for accessing, fusing and analyzing data from the climate change modeling community with earth observation and social science data to contribute to the global push for achieving climate resilience. Our goal is to develop a reliable foundation for decision ready data services for climate change adaptation actions. For this purpose, OGC members engaged in this pilot will develop a series of demonstrators that show the integration and combined exploitation of climate data, EO data, and data from the social sciences.
The main objective of CLINT is the development of an Artificial Intelligence framework (Climate Intelligence) composed of Machine Learning techniques and algorithms to process big climate datasets for improving Climate Science in the detection, causation and attribution of Extreme Events, including tropical cyclones, heatwaves and warm nights, and extreme droughts, along with compound events and concurrent extremes (see Box 1). The CLINT AI framework will also cover the quantification of the EE impacts on a variety of socio-economic sectors under historical, forecasted and projected climate conditions, and across different spatial scales, from the whole European to the local scale, ultimately developing innovative and sectorial AI-enhanced Climate Services. Finally, these services will be operationalized into Web Processing Services, according to most advanced open data and software standards by Climate Services Information Systems, and into a Demonstrator to facilitate the uptake of project results by public and private entities for research and Climate Services development.
Digital Twin of the Ocean builds a federated, multidimensional representation of the maritime and oceanic ecosystem. The initiative covers the value chain from the smart IoT, satellite Earth Observations, and Citizen Science data to decision-ready information and knowledge. OGC is involved in the standards-based DTO data management APIs definition built on the OGC APIs framework and semantic interoperability of the APIs, Citizen Science, and thematic domains. Finally, we are leading standardization and best practice tasks to enable building the solution in the ecosystem of the Digital Twin of the Earth
This project aims to contribute to improving GIS – BIM continuity. Among other things, the project organizers aim to exploit the standardization resources already available from the OGC and other organizations as an input for OpenBIM resources. This work is illustrated by geotechnical data.
This IE will test the suitability of a C&C data model for UxSs in a real-world environment. The goal of this IE is to assess whether the data model is suitable for multi-domain, multi heterogenous vehicle use and demonstrate exchange of command and control information. IE is based on a data model developed by Kongsberg Geospatial and partners under the Standards-based UxS Interoperability Testbed (SUIT). The IE will consider those other standards and specifications which were used in the SUIT work as well as other Command and Control practices from the aviation community.
The Open Geospatial Consortium (OGC), supported by buildingSMART International (bSI), invites interested organizations to sponsor an OGC Innovation Program initiative that explores the current state-of-the-art in geospatial and BIM data integration based on meaningful real-world use cases. Both communities build on different data modeling approaches with respect to fundamental concepts, semantics, access, level-of-detail, and several other aspects.
The COVID-19 pandemic has shown the world that global crisis response and preparedness cannot be executed without (1) location-related information of people and resources, and (2) trusted information sharing across stakeholders from traditional sources (such as health, defense, public safety) to new sources of information (such as privately-collected mobility data). In addition, information critical to response efforts may come from unexpected sources and domains that previously had little reason to collaborate or involvement with emergency response efforts.
The E-SHAPE proposal is driven by the need to develop operational EO services with and for the users and to create a conducive environment whereby the strengths of Europe are exploited towards addressing societal challenges, fostering entrepreneurship and supporting sustainable development. The project puts a lot of emphasis on co design, coordinated implementation encouraging adoption of standards and compliance testing, user Uptake and Capacity Building.
The first phase of the interoperability experiment focuses on the use of SOS as a standard service to distribute data coming from citizen science observations. This idea is based in the COBWEB recommendation to use the classical OGC services in the Sensor Web Enablement. The second phase now focuses on SensorThingsAPI and OpenAPI in general.
Building on the content-focused outcomes of the first ELFIE, the Second ELFIE (SELFIE) is designing and vetting Web-resource model and network behavior for cross-domain linked feature data that compliments and uses WFS3 as a building block.
CLIMOS aims to assist mitigation of climate- and climate change-induced emergence, transmission and spread of vector-borne and zoonotic pathogens based on Eco-health and One Health approaches. This will be achieved by quantifying climate and environmental-related drivers of sand fly vector populations and the sand fly-borne diseases (SFBDs) across Europe. The project will provide an Early Warning System (EWS) and decision support frameworks for more accurate climate and health modelling, prognosis of infection risk and range expansions, and adaptation options. Socio-economic analysis and risk assessments will inform decision
support providing social and cost-benefit evaluations. Towards these goals, an open access interactive CLIMOS online platform will be developed containing data on vector and SFBD species geography and up-to-date monitoring, climate, environment, and mathematical algorithms. The accompanying educational platform will enable evidence-based mitigation decision-making by social, environmental and financial stakeholders, public bodies and policy makers.
This Interoperability Experiment (WQ IE) will advance the development of the WaterML 2.0 suite of standards in the area of water quality data. The WQ IE will test interoperability and interconnection of existing Water Quality Data Systems. The participants will identify how to support WaterML 2.0 development in the domain of Water Quality (WQ).
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