Privacy Policy

Here, you will find the privacy policy for the Context Data Cloud for Android (CDCApp) application provided within the Google Play Store as part of the Context Data Cloud project. This policy is approved by the privacy manager of the Technische Universität Berlin. Please read it carefully before using the app since we need your agreement for providing us your data. Thank you for supporting and contributing to this open data platform research initiative!

What is Context Data Cloud?

The Context Data Cloud is a novel context management platform that ties context providers, consumers as well as context-aware service developers to an ecosystem for providing semantically enriched context-aware services. This platform is based on Linked Data and enables developers of context-aware services to easily realize innovative applications by making use of a set of novel interfaces.

What is Context Data Cloud for Android (CDCApp)?

The Context Data Cloud for Android (CDCApp) is a location-based community app offering a set of semantic services to users such as a Friend Tracker or a Restaurant Recommender. Users can check-in to certain points of interest in their vicinity providing information about their favorite or frequently visited locations to other users within their social community. These services are based on the Context Data Cloud platform and exploit the rich set of data available within the LOD Cloud.

What kind of data is collected?

  • Personal information: Email address for login, nickname, name, birthday, gender, and self-chosen/-permitted user relationships.
  • Service-specific profile information can optionally be added, e.g., eating preferences or hobbies
  • Personal location preferences: checked-in points of interest, check-in/-out times, self-chosen favorite locations, frequently visited locations, ratings, comments, and tags
  • Contextual information attached to the location preference: weather situation, holiday, in-/outdoor environment, reason for check-in
  • Information about the mobile network cell the user is currently connected to and its neighbors when checking in at a certain place: cell id, location area code, mobile country code, mobile network code, and cell technology
  • Information about WiFi access points in the vicinity when checking in at a certain place: (basic) service set identification and signal strength

What happens with the collected data?

By contributing with your data, you enable us to create a valuable dataset of real user location preferences to be used within our research in the areas of Semantically enriched Context-aware Services and Location Analytics. A totally anonymized and aggregated version of this dataset is published in Linked Data format as Linked Crowdsourced Data and is interlinked to other datasets within the LOD Cloud.

Your personal information is only used within our research for providing highly personalized semantic services from which you will benefit when using the app. One example is a Restaurant Recommender that takes your age and/or eating preferences into account when recommending restaurants in your vicinity. Another exemplary service is a Friend Tracker that notifies you whenever family members or friends enter or leave a certain location preference. For such a service to work, you need to add other users of the platform as friends and further request a tracking permission.

We hereby ensure that we do not collect any kind of contact data from your phone or other sources, only users of the CDC platform can be added to your friends list. We further guarantee that your personal information will never be made available to the public.

You can see the results of our research at:

What are my opt-out rights?

You can stop the collection of data by easily uninstalling the app. Just use the standard uninstall process as part of your mobile device. However, data that has already been collected cannot be deleted.


The CDCApp has been developed by Abdulbaki Uzun, Berken Bayat, and Thilo Geismar. It is part of the Service-centric Networking department of the Technische Universität Berlin, Germany.


If you have any feedback, please do not hesitate and send an email to abdulbaki.m.uzun[at]