Management of heterogeneous platforms and sensors

roland.koppe [ at ]

Abstract is a component of our data flow framework designed to enable a semi-automated flow of sensor observations to archives (acronym O2A). The dramatic increase in the number and type of platforms and respective sensors operated by Alfred Wegener Institute along with complex project-driven requirements in terms of satellite communication, sensor monitoring, quality control and validation, processing pipelines, visualization, and archival under FAIR principles, led us to build a generic and cost-effective data flow framework. Most important, all components and services which make up this framework are extensible and exchangeble, were built using open access technologies (e.g. elastic search) and vocabularies (SeaVox NERC 2.0 vocabulary) and are compliant with various interoperability standards recommended by the international community. In this poster we illustrate the component which is the first step in the data acquisition process. In this component we have adopted the OGC standard SensorML 2.0 in oder to describe not only sensor-specific information (provenance/lineage metadata, data governance, physical characteristics, sensor positioning within the platform, parameter accuracy, etc) but also related events (e.g. station numbers as assigned in the data acquisition system on board along with actions such as deployment and recovery) and digital resources relevant for documenting the scientific workflows (e.g. calibration certificates). For this sake we have developed an AWI-specific SensorML profile and are sharing the model and as parters in the EU-funded project ODIP II we are contributing towards the generic Marine Sensor Profile. We have also been systematically sharing our experience in the RDA "Martina data Harmonization" Interest Group. In we are not only keen to describe sensors but also to create a sustainable identificaiton solution. Because the payload of various platforms change with time and sensor calibration may affect the data streams, it is important to keep track of these changes. For this sake we set up an audit trail history solution which allows scientists to create and identify an individual version/instance of a sensor. Each individual sensor instance and version gets assigned a handle as persistent identifier. These persistent identifiers enable the creation of citations for individual sensor instances at a given timestamp which can be used in publications and as part of the metadata associated with the final dataset and/or data product archived, e.g., in PANGAEA. To date, ~1300 sensor have been described in Scientific Discipline/Research Area: Sensor Registry, Persistent Identification of Instruments, Provenance Metadata Relevance/Link to RDA: Input to/from RDA-Groups: "Persistent Identification of Instruments", "Data Citation" and "PID Kernel Information" Working Groups and "Vocabulary Services" Interest Group.

Item Type
Conference (Poster)
Primary Division
Primary Topic
Research Networks
Publication Status
Event Details
RDA 11th Plenary, 21 Mar 2018 - 23 Mar 2018, Berlin.
Eprint ID
Cite as
Koppe, R. , Gerchow, P. , Macario, A. , Haas, A. , Schäfer-Neth, C. , Rehmcke, S. , Walter, A. , Düde, T. , Weidinger, P. , Schäfer, A. and Pfeiffenberger, H. (2018): Management of heterogeneous platforms and sensors , RDA 11th Plenary, Berlin, 21 March 2018 - 23 March 2018 .

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