Fraunhofer Institute for Material Flow and Logistics IML
Fraunhofer Institute for Material Flow and Logistics IML

Research Project: Transforming Transport

Transforming Transport (TT) is an award-winning research project funded by the EU under the Horizon 2020 programme. Within the project, Big Data methods for innovative, efficiency-enhancing and sustainable transport models were developed. The project involved the Fraunhofer Institute for Material Flow and Logistics with the departments Software & Information Engineering and Transport Logistics as well as leading transport, logistics and information technology partners from different countries. The special feature of the Transforming Transport project was the way in which Big Data was used to demonstrate changes in the mobility and logistics market. The results were presented in a realistic, measurable and replicable way. TT was divided into 13 different pilots from 7 application domains. This separation made it possible to efficiently cover all important sub-areas, which are of great importance for the mobility and logistics sector in Europe.

The Software & Information Engineering department of the IML led the work package on the topics Management of Knowledge, IPR, Data Governance and Data Protection. For this purpose, a general "Data Management Approach" was developed, which was applied in all pilots of the project. Special attention was paid to the consideration of intellectual property rights in all pilot projects.

Another work package in which the Software & Information Engineering department was able to demonstrate its expertise was called "Dynamic E-Commerce Networks". A platform for cross-company data exchange was designed and implemented to facilitate the integration and implementation of heterogeneous company data. The heterogeneous company data is converted into a uniform semantics and structure. This transfer enables the evaluation of the heterogeneous enterprise data with the help of Big Data methods by an E-Business analysis platform, which was developed in the work package.

The Software & Information Engineering department successfully used the opportunity to

- validate the concepts for cross-company data exchange and

- to expand its know-how in this area

The successful completion of the Transforming Transport project was crowned with the Best Success Story Award of the BDVA (Big Data Value Association).

If you have any questions, please contact our staff member Christian Nissen. 

 

The most important questions in an overview

What is Data Governance?

Data governance is the leading function of data management in companies. It ensures that the right data source is used to deliver the right information and that it is in the right form and quality. It also determines which data management decisions are to be made and who makes these decisions.

How do i recognize data governance?

- Is the quality of a data record assured?

- What must be done to improve the quality of a data set in connection with an application?

- Is the availability of a data set given?

- Are there any legal questions or limitations that need to be considered before using a data set?

- Is there data (e.g. personal data) that must be anonymized before the data set can be used?

What is Big Data?

Big data refers to data volumes that are either too large, too complex, too fast moving or too weakly structured to be evaluated using manual and conventional data processing methods.