Key points/problems in the status quo

• In both public and private organizations, masses of (spatial) data is produced, internally or externally (via consulting)
• Data is usually stored or delivered in a static format
• Further use, refinement, iteration, revisiting and updating of data is lagging behind the possibilities enabled by current data infrastructure technologies
• Future of data management and consulting lies in dynamic data deliveries, visualizations and the interfaces enabling interactive and intuitive access to information

• Openness, "crowdsourcing" and APIs have become key factors in data infrastuctures and management
• Gaining popularity over closed-source platforms
• A prime example is the open-source spatial data infrastructure publicaly developed in Finland (led by National Land Survey), Oskari.org