Privacy Statement

In order to work actively with CATMA you need to create a password secured account that is associated with an active e-mail address. CATMA offers two authentification options:

  • creation of a user account via Google’s authentification system. If you use this system Google’s Privacy Policy will apply to your account.
  • creation of a user account with CATMA’s own authentification system. If you use this system, your account data will be accessible to the CATMA system only.

Irrespective of the authentification system chosen all your account details are stored for internal authentification purposes only – CATMA does not pass on your personal data to any third party whatsoever. However, please note that any texts/corpora and/or Tagsets uploaded to CATMA, as well as any meta data generated with the CATMA web application is automatically linked to your user account. This is necessary to allow persistent access during a work session and between work sessions, and to enable collaboration in text analysis and annotation with CATMA.

When you use the “sharing” option in CATMA either actively (i.e., you “share” your documents with others) or passively (i.e., you accept somebody else’s invitation to join a group of users who share documents in CATMA) your user identity will be displayed to all other members of the sharing group in the format which you defined when uploading, creating or editing a document (a primary text, Tagset, Annotation collections etc.).

CATMA reserves the right to post-process and analyze as training data for machine learning purposes any data and meta-data contributed or generated by a user. Any user generated data/meta-data used for these purposes will be processed strictly in anonymized format only and will not be used to profile individual users under any circumstances whatsoever.

The developers of CATMA gather data from the site about what tools are invoked and with what parameters (IP addresses are also logged in order to be able to identify multiple requests during a same session). In addition, locally logged data helps the development team to debug and improve the tools, as well as to understand how researchers are using them. CATMA guarantees that any such data is strictly used in anonymous and aggregate form only.

If you have questions about the data being collected and how it is being used, or to request that a corpus be removed, please contact us.