Smart Cities generate an immense amount of data that if analyzed, can provide deep insights into behaviour of citizens and many aspects of our society. Generally smart cities are characterised as an innovative city that uses ICT to improve citizens; quality of life and efficiency within cities. Obviously data is key for promoting economic growth, quality of life and develop strategies for the city. Smart Buildings have emerged as an important cornerstone in Smart Cities to achieve these aims. They can act as an important source for vast amount of data and are key for efficiency improvements related to energy, mobility and operation. In Smart Cities and Smart Buildings, people are dealing with a tremendous amount of data. 

These environments can be classed as Big Data environments in which data sets increase in size, complexity and velocity. The data is fast moving and change, and can be originated from various sources such as social networks, unstructured data from different devices or raw feeds from building sensors. They challenge traditional data management approaches and tools, concerning performance, integration and analytics. However, one of a key challenge is the huge number of data quality problems that can be time-consuming to solve or even lead to incorrect data analytics. Despite the importance of data quality for modern businesses, current research on Big Data quality is limited. It is particularly limited knowledge exist on how to apply traditional data management approaches and data quality models to Big Data within Smart Cities and Smart Buildings. Therefore, this workshop aims to discuss Big data in Smart Cities and Smart Buildings, and particular focuses on the Big Data quality research from several perspectives. 

With this workshop we view Big Data as a crucial asset that creates value within Smart Cities, and thus needs to be managed accordingly for optimal business value. We aim to provide a platform for discussing approaches, models, results and case studies or experience reports addressing a broad range of issues related to Big Data in Smart Cities and Smart Buildings. Although this workshop can only provide a first platform for discussions and propositions, it can build a foundation for further empirical research to understand Big Data quality and its implications for Smart Cities and Smart Buildings. Papers can include and discuss various research methods and can be based on case studies, quantitative and quantitative methods, design science as well as experimental and simulation. In addition, practical oriented research and experience reports are encouraged.