ABSTRACT
Big data is a key area when working with geospatial data, and one that is growing rapidly. Big data comes from a range of different sources and requires specific tools and techniques to effectively analyse and represent the data effectively, including the ability to code and to combine both computer science techniques and social science understanding. There are many approaches to visualizing these datasets, with the most appropriate depending on what the data is and what you want to show. Big data is having a great impact on society, and needs to be managed and researched responsibly. The GDPR (General Data Protection Regulation) in the UK and EU, and other similar legislation around the world, has a strong influence on what can and cannot be done with big data, and while the GDPR was not specifically developed for working with spatial data, there is a range of ethical frameworks for working with spatial data, including the Locus Charter. One way of addressing some of these concerns is by conducting research within a secure data infrastructure. There are several different secure data infrastructures available for research to be conducted within, and many vital and interesting potential research topics across all subject areas.
