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Development of Interoperable Infrastructures for Marine Real-Time Observation Data

Simon Jirka, Dick Schaap, Alexandra Kokkinaki, Christian Autermann, Matthes Rieke and Christoph Stasch

(Submission #112)


Abstract

Marine sciences rely on a broad range of data to capture the state of the oceans. Consequently, a very broad range of data is captured by a multitude of platforms and sensor types operated by different organisations. Thus, to ensure the efficient work of ocean scientists, it is important to enable a seamless exchange of observation data independently of the underlying sensor technology and across organisational borders.

Several European projects such as SeaDataCloud, ODIP 2, BRIDGES, and NeXOS are addressing this challenge on different levels. On the one hand, these projects are working on facilitating the integration of new sensor hardware into spatial information infrastructures through flexible and auto-configurable components. On the other hand, cross-cutting goals are addressed in order to increase interoperability between organisations.

Within our presentation we will provide an update on the latest developments in currently ongoing European projects. We will give special attention to the application of the INSPIRE Technical Guidance for implementing download services using the OGC Sensor Observation Service and ISO 19143 Filter Encoding as well as the Guidelines for the use of Observations & Measurements and Sensor Web Enablement-related standards in INSPIRE.

Furthermore, we will introduce how the mentioned projects go beyond the current state of the art. This comprises for example the application of the OGC Sensor Model Language (SensorML) standard for providing detailed metadata about the sensors that have collected certain observation data sets. We also show how controlled vocabularies can help to increase the semantic interoperability of such sensor metadata documents, for example to describe which properties are observed by a sensor.

Another core element of our presentation is the so called SWE Ingestion Service that is developed by the SeaDataCloud project. This is a component which relies on interoperable SensorML-based descriptions of sensors and sensor data streams to enable the flexible upload of marine observation data into scientific research data infrastructures making use of core INSPIRE principles.

In summary, our presentation will introduce our experiences with those parts of the INSPIRE Technical Guidance dealing with real-time observation data and it will give an outlook on upcoming developments to further improve the handling of real-time streams of marine observation data.

Categories

Topic Area:  [1.1] Sustainable management of natural resources and natural capital
Abstract Type:  Oral Presentation

Additional Fields

 
Academic:   Yes
 
Data Provider:   Yes
 
Data User:   Yes
 
INSPIRE Implementer (IT):   No
 
INSPIRE newbies:   No
 
Policy Officers:   Yes
 
Public Administration (MS/Regional/Local):   Yes
 
Thematic specialists:   Yes

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