About
Work packages
The lab's research is structured around five interrelated Work Packages (WPs). These WPs span different perspectives in the open government data ecosystem:
- Supply side (governments as information providers)
- Demand side (citizens, journalists, researchers)
- Information culture (norms, practices, values)
- Passive publication (e.g., via FOIA/Woo requests)
- Active publication (e.g., proactive disclosure)
Below is a matrix showing how each work package aligns with both the type of publication and the stakeholder perspective:
| Passive publication | Active publication | |
|---|---|---|
| Supply side | ||
| Demand side | ||
| Information culture |
WP1: Publishing FAIR Open Government Data
Supply side Passive Active
We investigate how governments can make their documents and data collections more Findable, Accessible, Interoperable, and Reusable (FAIR), not just for humans, but also for machines. This work focuses on the supply side of open government data.
WP2: Advanced Search for Open Government Data
Demand side Passive Active
We design tools that help end-users such as citizens, journalists, and researchers to find and navigate complex government documents and datasets. This research focuses on the demand side, particularly in passive and active publication scenarios.
WP3: Advanced NLP for Open Government Data
Demand side Passive Active
Using cutting-edge Natural Language Processing (NLP), we study methods for summarization, simplification, and conversational exploration of government information. This enables better understanding and engagement with open government data.
WP4: Toward a FAIR Information Culture in Open Government
Supply side Information culture
We explore what it means to have a FAIR information culture in public institutions. This work bridges technology and society, and focuses on organizational practices and values that ensure information is usable by all.
WP5: Sources and Evidence in Open Government
Demand side Information culture
How can users trust what they read? This work examines the authoritativeness and evidentiary value of open government data, and how to make this clearer and more accountable in the government's information management practices.