Towards SDI services for crowdsourcing spatial data in disaster response

Spatial data are indispensable in supporting disaster responders. Accurate locations of disaster areas will help responders to create an appropriate response in reducing the impact of the disaster. Indonesian Geospatial Information Agency (BIG-Badan Informasi Geospasial) has made spatial data available for emergency response activities across the country. In 2011, BIG launched a geoportal, which is a part of National Spatial Data Infrastructure Network (NSDIN). For data related to the disaster, Indonesian National Board for Disaster Management (BNPB) handles them that is a part of the network. At the national level, the data are in medium and small scale and not suitable for operational purposes such as in disaster response. Indonesian law on geospatial information has ordered the local government to develop local SDI to solve it. In disaster response phase, the data should reflect the latest situation, complete and reliable. They should be available in a short time period. SDI has impediments to meet these criteria because it is built based on the authoritative perspective that is not agile. On the other side, crowds enrich and update data rapidly by utilizing web 2.0 technology (e.g. social media and map applications). This paper discusses existing SDI frameworks and crowdsourcing concepts in Indonesia and global levels to come up with a new framework that can comply with disaster response activities.