This paper sets out a framework for use in the overlapping fields of the emergency response supply chain and big data analytics. The framework comprises four dimensions. The first dimension relates to the useful purpose of big data analytics: descriptive, diagnostic, predictive and prescriptive. The second dimension relates the phase of the emergency or disaster within which the analytics are used: preparation, preparation, response or recovery. The third dimension relates to the characteristics of big data itself: volume, variety, velocity, veracity and value. The fourth dimension relates to the application area. While the following four areas have been identified from the literature it is likely that additional areas will evolve: logistics, social media, remote sensing and security. It is intended that this conceptual framework will be of use to researchers and practitioners in positioning their work in the field.