The "Smart City Data Dictionary" service is provided as an academic consultancy service by the contractor Gebze Technical University Technology Transfer Office (TTO) within the scope of the "Smart City Guidance Applications Project", which is being carried out with external support within the body of TÜBİTAK Turkey Management Sciences Institute (TÜSSIDE).

The scope of this service procurement; It consists of three parts, which can be expressed as the creation of a Smart Cities Data Dictionary, the design of a data model that can work together with the Turkish National Geographic Information System (TUCBS) infrastructure based on the developed data dictionary, and the preparation of application examples and training materials. While preparing the data dictionary, the Data Dictionary Creation Methodology published by the Presidency's Digital Transformation Presidency will be taken into account. While preparing the data model, TUCBS conceptual models and ISOTC211 standards and components are examined, and TUCBS add-on data model is designed.

The two subject categories of service procurement in the Smart Cities Data Dictionary are Smart Transport and Quality of Life. The determination of data sets for smart irrigation systems, smart cards (public transportation cards), smart intersection systems, vehicle counting systems with bluetooth detectors, variable message signs, smart stops, smart bike sharing systems, and air quality measurement and monitoring systems falls under the umbrella of smart transportation. Moreover, data sets for smart parking, smart waste collection, and smart lighting are being revised.

Smart waste management, smart energy, and smart transportation are all included in the Quality of Life category. The development of a data dictionary and an add-on data model for quality of life in smart cities involves choosing at least five of the most often used criterion categories.

Three application examples—Quality of Life, Air Quality Monitoring, and Parking Lot Management—were selected using the current data themes and the to-be-developed smart city data model. For GIS-based example applications, training materials such as presentations and videos are developed. In order to support the 2020–2023 National Smart Cities Strategy and Action Plan and the TUBCS Infrastructure, a Smart Cities Data Dictionary and Data Model will be created.