The challenge
Data is the key to sustainable urban mobility. Intelligently used and linked, they offer a huge opportunity: In the future, we will be able to travel much more efficiently, in a more climate-friendly manner, and at the same time more comfortably - and at the same time measure impacts on the environment even more directly. In the urban data space, a large amount of data is available for this purpose, the combination of which is still difficult from a technical, organizational or legal point of view and which, up to now, has had to be individually processed, quality-assured and brought together for each specific application. However, there are numerous challenges for (municipal) data management (in the mobility sector):
- Different data users and owners, unstructured data storage, insufficient documentation and availability.
- Poor data quality (approx. 70% of the effort in the context of Data Science is spent on data preparation)
- Uncertainties regarding licensing, rights and data protection
- Lack of overview of available internal and external data sources of organizations
- Data is insufficiently linked: there are still too few data repositories that offer a holistic, technical view of data structures
- Regulatory requirements for Open Data
Our contribution
Within this collaborative research project, Fraunhofer ISST supports in particular the development of the data trust model and the conception of data governance in the mobility data ecosystem. The work aims at ensuring the development of data products and their provision in the ecosystem with the help of a data governance framework. The focus is on internal and external requirements, taking into account internal organizational structures as well as dynamics, complexity and interdependencies in the ecosystem.
Results
The aim of the project is to develop and test such data trust models by establishing a data ecosystem at the interface between smart cities and mobility on the one hand and between municipalities and their municipal companies, science and industry on the other. In this context, the data trust concept is seen as a pioneer for the development of a cross-organizational alliance with the purpose of data curation and fiduciary data provision. Smart data products can be used in a very wide range of urban system use cases in industry, business, and society, e.g., for CO2 balancing of a city's transportation operations. The results of the project will support the development of smart cities in Germany.
Partners
- Fraunhofer IAO
- University of Stuttgart - Institute of Industrial Engineering and Technology Management IAT
- ifeu - Institute for Energy and Environmental Research Heidelberg
- Solingen Digital
Funding
- Federal Ministry of Education and Research (BMBF)