After collecting data on the field, it needs to be brought back to the office for analysis, visualization and archiving.

Depending on the amount of field workers involved and the complexity of your geo data infrastructure, different approaches need to be taken for an optimized workflow.

In this talk, you will join Maya the beekeeper along with her friends from different organizations on their journey to collect and integrate data. From a one person biological survey office to an enterprise level asset management company with hundreds of field workers collecting in parallel, this talk will give you the basics to get started.

To be INSPIRE compliant is a requirement implied by the European Union. From an administrative view, the desire for standardized data for aggregation is very comprehensible. Producing and delivering data that complies with these requirements comes with a great set of challenges but is key to bring any such system to success.

In Switzerland the same requirements exist for standardization and aggregation. To reach this goal, a system with the name INTERLIS is developed for more than two decades already. During this time, a rich ecosystem has started to exist which builds bridges from a formal model all the way to the user interface with tools like ili2db and QGIS Model Baker.

All of this built with open source tools that are accessible for anyone. This talk will give an overview over a state of the art toolchain that helps data providers to produce high quality data which can keep up with national and international data requirements.

Telling the story of Ms Maya Mielina, a retired GIS analyst and passionate beekeeper, we will show you features that you might not even have imagined existed in QGIS and that will allow you to dramatically increase your efficiency.