Automated Data-Ops for Community-Driven Flood Monitoring

Communities from deprived urban areas suffer from socio-environmental challenges and data scarcity to tackle them. Geoinformation and cloud computing can support monitoring, analysing, and data-driven decision making while helping authorities and communities co-design and co-produce data. Automation through DataOps might facilitate the development and operation of heterogeneous data flows. However, its implementation implies a steep learning curve and requirements difficult to meet. This paper describes a vision to adopt DataOps in citizen-generated data production, improve data flows and integrate heterogeneous data sets. We discuss the challenges and efforts of setting data pipelines for a community-driven monitoring network in Brazil.