Spatial Data Infrastructure A Spatial Data Infrastructure (SDI) is a combination of policies, standards and software to manage and deliver geospatial data (Simmons, 2018). A good SDI follows policies and standards that are (widely) accepted in the communities (e.g. FAIR, OGC). Although often providing new functionality, the main advantage of an SDI is the connection of different tools and software products to build (mostly) automated workflows. This allows for less manual processing (and therefore fewer errors) as well as standardized data products due to fixed workflows. For this to work flawlessly, extensive documentation and user instructions are key. An SDI can contain (but is not limited to) data storage, metadata catalogue, tools for data processing, WebGIS and a form of data access (e.g. download, web service). Environmental research produces an increasing amount of spatial data (e.g. climate, hydrological, socio-economic) by using a variety of methods (e.g. modelling, remote sensing, data-driven). This leads to the demand for effective management of such data. This application aims to provide automated workflows and user-friendly applications/interfaces in a cloud-based environment to easily manage, share and visualize standardized spatial data. The standard specifications follow the Binding Regulations for Storing Data as netCDF Files. Other vector and raster data formats can be included in the workflows with manual work-steps and will be automated in the next versions. The application will be expanded continuously into a self-service platform to create custom WebGIS, automated workflows and various (meta-)data provision interfaces for a wide range of spatial data formats. Requirements Simply FAIR Science- and Management friendly: Provide interoperable and reliable netCDF data enriched by metadata and with provenance information. User friendly: Easy to use user interface for people that manage netCDF data or create WebGIS for netCDF data, without requiring knowledge about underlying technologies like databases. Admin friendly: A scalable and transferable container based solution that will smoothly integrate into typical scientific IT landscapes. Developer friendly: Common open source solutions structured by microservice architecture to keep it open and simple to extend for developers. Features S3 cloud-storage with MinIO FROST®-Server to store and access sensor data (in combination with time.IO and SaQC) Creation of custom interactive WebGIS components for netCDF, STA and GeoTIFF data Extendable processes to get spatially aggregated values for netCDF and GeoTIFF data Use of django framework to make configuration of data and WebGIS user-friendly Workflow for automated creation of OGC web services with GeoServer of new netCDF data Workflow for automated creation of metadata entries in GeoNetwork THREDDS Data Server (TDS) to provide netCDF data with OPeNDAP Component Description Supported Data Formats MinIO S3 Storage any format FROST®-Server Server to store and provide sensor data with OGC SensorThings API csv WebGIS Online viewer to show data with additional funtionality: Swiper function to compare two datasets Time slider Selectable federal countries and districts Upload of Shapefile Function to aggregate values over polygon (country, district, shapefile) Diagramm to show multiple datasets values as time series Option to filter datasets by variable Option to save map as pdf Option to save timeseries data and aggregation results as csv NetCDF GeoTIFF/Cloud Optimized GeoTIFF (COG) as ImageMosaic sensor data as csv AggregationAPI pygeoapi instance for OGC API - Processes to process aggregated values for WebGIS NetCDF GeoTIFF/COG Admin-Frontend Manage data from MinIO in projects Connect data to GeoServer, GeoNetwork, TDS Create WebGIS instances and manage data/design of viewer - GeoServer OGC Web Services for data NetCDF GeoTIFF/COG (manual ImageMosaic creation needed) GeoNetwork Metadata catalogue and OGC CSW access with direct data download link NetCDF Metadata provided as external JSON file THREDDS Data Server (TDS) OPeNDAP access NetCDF django backend Manage requests from user-components Hold configuration from Admin-Frontend - PostgreSQL Database to store values and information for all SDI components to communicate seemlessly - Worker Runs in the background of the application and watches for new data/changes in MinIO Creates datastores in GeoServer for new data to provide OGC Web Services Link new MinIO data to TDS Create/Update metadata entry for MinIO data in GeoNetwork - Quickstart Install Docker Engine (Community Edition - CE is enough) and Docker Compose Install a git client and checkout the spatialIO repository or unzip the attached archive Follow step-by-step instructions in README.md to startup Techstack, dependencies and third party open source products MinIO FROST®-Server GeoServer GeoNetwork THREDDS Data Server (TDS) django PostgreSQL Vue Bulma pygeoapi Acknowledgements We thank the Helmholtz Association and the Federal Ministry of Education and Research (BMBF) for supporting the DataHub Initiative of the Research Field Earth and Environment. The DataHub enables an overarching and comprehensive research data management, following FAIR principles, for all Topics in the Program Changing Earth – Sustaining our Future.