Large research networks, the implementation of clinical-epidemiological studies, but also the establishment of registries and cohorts, require data processing that complies with data protection regulations. In accordance with Art. 32 para. 1a GDPR, the use of pseudonyms helps to ensure an appropriate level of data processing protection.
The gPAS® was developed for this specific purpose. It is used to generate and manage pseudonyms. The domain concept enables the structured management of pseudonyms per data source, application context (data collection, data transfer) or location. The characters (alphabet) and algorithms used can be freely defined. The linking of domains enables the creation of hierarchies and the generation of pseudonyms of any level (pseudonymisation of pseudonyms). The intuitive web interface supports the creation and resolving of pseudonyms. If necessary, pseudonyms can be created temporarily or anonymised in order to take account of the ‘right to be forgotten’ of data subjects. At the same time, gPAS also supports large amounts of data by means of list processing. The dashboard provides an overview of the figures for generated pseudonyms and configured domains. Users can get started quickly and easily with the manual provided, which guides them step by step through the functionalities and necessary configurations.

Pseudonymising data

Pseudonyms can be generated, anonymised and processed with a variety of options and in different domains.

Displaying hierarchies

When working with a multitude of systems, complex pseudonym hierarchies arise for each participant. These can be clearly displayed in gPAS.

Processing lists

The configurable import and export of Excel lists supports researchers in a) (de)pseudonymising legacy data and b) working with other software products.

Who uses the gPAS?

The diagram shows productive (blue) and planned projects (light blue).

Date: March 2025

Based on the feedback known to us

You are interested in our gPAS? You can either try it out online in our demo or install it via Docker.

DEMO

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