The mission of project Time Machine, guided by the heritage department of ‘s-Hertogenbosch, is to connect and visualize big data from the past in order to make their archives accessible to the general public. For this project students Max van den Berg, Pim van Loon, Julian Martens, Job de Nooijer and Martijn Scheve created a street register.
The following question stated the challenge of the project: How can the various historical and current data collections be connected and made searchable at street level? Which comes down to:
To efficiently and effectively develop the street register, the project was divided into two sub-projects. A database and a dashboard.
The heritage department puts great emphasis on making archives accessible to the general public, internal researchers, and external researchers. Of course, the dashboard can easily be made accessible to everyone over the internet, however, this characteristic should not only be limited to the dashboard. To publicize the database containing all the information of historic and current streets in ‘s Hertogenbosch, we have developed the database according to the Linked Open Data (LOD) protocol.
In addition to the database students also created a dashboard. The following data sources provided the starting point for the content of the dashboard:
An interactive map was chosen to visualize the above information, which required considering the following additional external data sources:
Furthermore, the following filter-functionalities were implemented in the dashboard:
Two things resulted from this project. A street register database containing all historic and current information hosted in a centralized environment. And an interactive dashboard to interact with the street register aimed at the general public. For more information about the Time Machine project go to the website
“This project bridged data science with humanities showing how disciplines are becoming day by day more intertwined. History is not traditionally associated with data science. Still, the students showed how their cutting-edge skills could be applied to new domains and how new solutions can solve problems that were impossible to address only ten years ago”.
dr. Claudia Zucca – Assistant Professor and Researcher at JADS
JADS provides innovative data science programs at undergraduate, graduate and postgraduate level, conducts cutting edge data science research and offers great business opportunities with a continually growing ecosystem. From startups to SMEs and large corporates, our business partners gain access to talent, high level knowledge and business opportunities.
Partner up with JADS like 300+ other organizations and businesses and shape your data-driven future