large online platforms

Online platforms shape nearly every aspect of life. The behavioral data generated through their use is valuable for researching democracy, health, and the economy. However, access to this data has been limited and dependent on the platform. GESIS is developing the Research Infrastructure for Data from Large Online Platforms (RIDLOP) to systematically collect platform data and securely make it available for reuse. RIDLOP relies on three approaches:

1. Submissions by researchers,
2. Data donations from platform users, and
3. Provision by platforms, e.g., under the Digital Services Act.

This sensitive data can be securely archived and reused through a combination of an archive and a Trusted Research Environment. This results in systematic, comparable, and long-term usable data resources. The presentation will introduce RIDLOP with interactive tool demonstrations.

Moderator: Dr. Jan-Hinrik Schmidt. The event will take place in English.