Location can be described and used to spatially integrate and enable data in a number of different ways. In 2018, the Location Index (LOC-I) project was initiated to bring together a number of government agencies aiming to build a framework to support critical government decision making and to contribute significantly to economic, social and environmental sustainability by linking foundation spatial data with observational data and providing a consistent way for seamless integration of data on people, business, and the environment. This GIS without GIS framework brings together modern technological approaches of Linked Data and Discrete Global Grid Systems (DGGS) as well as important aspects of Social Architecture to ensure relevance, transparency, openness and accessibility of multidisciplinary data for the Australian Government and non-government users. Using this approach, the Loc-I program aims to open a substantial opportunity to all stakeholders by providing a richer set of information to deliver better citizen-centric services, more efficient programs and improved policy advice. Through disseminating new capabilities across Commonwealth agencies, Loc-I objective is to provide users with: stable, persistent and repeatable access to the data increased interoperability with other datasets enhanced information sharing and a greater number of users and re-uses of the data reduced complexity in using of the data standardised governance of data and information and transparency in data management improved efficiency by reduced cost and time in collection, management and delivery governed and managed federated supply chains The Loc-I is looking at extending collaboration by introducing new use cases. A case study was developed to integrate satellite raster data (big data) with vector attribute data (little data). Using Digital Earth Australia Water Observations from Space (WOfS) and Australia Surface hydrology datasets, Geoscience Australia tested how to assign named waterbodies to WOfS giving attribution context to raster information through DGGS.