Bridging the Data Analytics - Data Excellence Gap

Data Analytics projects often suffer from low data availability, inconsistent data formats and data models. In mobility data projects this especially means there are inconsistent attributes for specifying time and space dimensions. Also, non-data management and data analytics experts have so far had little opportunity to obtain an overview of data products, since data repositories and catalogs usually do not present the data in a self-describing manner. Data mostly exists in organizational silos as well as inadequate quality. In organizational departments data literacy is often focused on the own work area and does not include an overreaching view on data management. Arguing from a holistic view including data analytics as well as data management knowledge, here a "data analytics - data excellence gap" exists. This paper describes and motivates a smart city and mobility data ecosystem data catalog as a core component to bridge this gap.