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 containing all current and historic information of the city center of ‘s Hertogenbosch at street level.
The main challenge of the project was connecting the various current and historical data collections, and subsequently being able to interact with the available data at street level. This basically comes down to:
To effectively tackle these challenges, a database was constructed in a convenient way. Furthermore, an interactive dashboard was developed to present the information in the database to the general public.
The heritage department puts great emphasis on making archives accessible to the general public, internal researchers, and external researchers. Of course, a 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, the database was developed according to the Linked Open Data (LOD) protocol. LOD allows multiple stakeholders to collectively gather and share their data, and thus fuel innovation within the heritage sector for many years to come.
The following data sources provided the starting point for the content of the dashboard. The list consists of both data to provide content (historical information & images) and functional data to enable interactivity (geographical data):
To provide the users of the dashboard some useful functionalities, the following filters were implemented:
The delivered street register, based on the LOD database and the interactive dashboard, fulfilled the expectations of the heritage department of ‘s-Hertogenbosch. With the sustainable solutions developed by the students, the heritage department once again makes a good step in understanding how to make their archives accessible to 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