In order to respond to economic, social and environmental challenges, societies need sound and reliable information about their resource "land". The foremost important data set – before taking any strategic or operational decisions – is about who owns a particular piece of land. Such information is to be provided by well-organized and efficient systems such as land registration and cadastre, which are core elements of a "land administration" system. Land administration systems themselves can be considered as the basic documentation layer serving "land management" with relevant information to carry out land related activities such as land-use planning, land consolidation and other land related implementation policies. Landownership information in this context is very crucial as things always happen on somebody's land; land ownership is not the sole information though, but it is more often than not at the core of the solution. In order to take benefit on a macro-economic level of spatial or location-based information, data needs to be organized in such a way that it can be integrated and shared among stakeholders. Interoperability is key to make best use of geographic information. This can be achieved by establishing a spatial data infrastructure, which observes three conditions that will allow it to be operated in either a centralized or decentralized federated environment.