M4 Master OrgXtract

Team

  • Lorenzo Battiston
  • Laura Langhauser
  • Niklas Lengert
  • Sao Chi Pham
  • Viet Anh Jimmy Tran

Supervision

Stefan Wehrmeyer

In our quest to challenge German bureaucracy, our project transforms organizational charts stored as PDFs into machine-readable open data formats, enhancing research capabilities and promoting transparency of German authorities.

Our Goal

The project aims to transform organizational charts, traditionally stored as PDFs, into a machine-readable format to enhance transparency in German authorities personnel structure. It focuses on converting these static documents into data that can be easily analyzed, to provide deeper insights into public administration. The goal was to create a tool for the Open Knowledge Foundation team to extract data from organizational charts of public authorities in PDF and use the output data to conduct their research.

The Team

Our team consists of five students, who equally contributed to our project. Each bringing their individual skillset, we were able to create a functioning product together. Our diverse expertise helped us solve the difficulties that came along during the development of our project. It allowed us to tackle the project from multiple angles, ensuring a comprehensive and effective solution.