Speaker
Description
Time-series data are crucial sources of reference information in all environmental sciences. Publishing such data consistently and timely for monitoring and warning purposes becomes more and more important. In this context, the Helmholtz-Centers from the research field Earth and Environment (E&E) operate some of the largest measurement-infrastructures worldwide (e.g., TERENO, DANUBIUS or MOSES). To ensure consistency and comparability of (meta)data from these infrastructures according to the FAIR-principles, we have to ensure standardized interfaces and metadata conventions. But a state-of-the-art and community-driven framework for time-series- and sensor-(meta)data, that is jointly adopted across different scientific fields and communities, is still missing. In this context, the Open Geospatial Consortium (OGC) recently proposed the SensorThings API (STA) as an open, geospatial-enabled and unified way to interconnect Internet of Things (IoT) devices, data, and applications over the Web.
Within our STAMPLATE-Project, that is funded by the Helmholtz Metadata Collaboration (HMC), all seven Centers from the research field E&E (AWI, FZJ, Geomar, GFZ, Hereon, KIT, UFZ) as well as the Fraunhofer IOSB hence joined forces to develop the technical and semantic foundations for establishing STA as a flexible and interoperable standard interface for making time-series data, enriched with comprehensive and standardized metadata, available over the internet.
The project is carried out by a highly experienced consortium across the seven E&E Centers. This consortium forms the core of an enhanced user community, that also includes potential end-users of our STA implementations and other interested parties.
In this presentation, we now want to show the current status of our project, demonstrate typical use-cases and also discuss challenges on our journey towards an interlinked research data infrastructure. We also want to advertise the SensorThings API as a generic interface for time-series data beyond our research field.
In addition please add keywords.
Metadata, SensorThings API, environmental sciences, research data infrastructure, FAIR
| Please assign your contribution to one of the following topics | Infrastructure and common practices for consolidating (meta)data |
|---|---|
| Please assign yourself (presenting author) to one of the stakeholders. | Data professionals who provide and maintain data infrastructure |
