AIMOS - Atmospheric Ionization Module OSnabrueck
1. About DSGVO
2. Usage of Personal Information
3. Usage of Personal Model Information
4. Data Processing Information
5. Contact information
1.) About DSGVO
The DSGVO is a EU law that enforces more data transparency for internet users.
Therefore a website has to make clear which data is stored, how it is processed
and give an option to delete it. (That's how I understand it.)
2.) Usage of Personal Information
The AIMOS website stores first and last name, institute, email and password as
well as the userID of a user. UserID and password are used for login purposes,
while name, institute and email are eventually used to inform about data bugs
or a new model version.
No third party is involved. No cookies are used. No advertisement is shown.
The password is stored in an encrypted way (hashvalue) without me having a chance
to decrypt it.
All personal information can be seen and modified after log in (go to user data).
If you want to delete your account, just write me an email. Given that this did
not happen before it made no sense to write an automatic form for that.
3.) Usage of Personal Model Information
The AIMOS website stores the geographic model(s) information that you enter
(latitudes, longitudes and pressure levels) in order to recalculate the ionization
rates to your grid. This grid information can be seen and deleted after log in.
4.) Data Processing Information
Every time ionization rates are calculated a logfile stores userID, grid,
pressure levels, processed period, processID as well as starting and ending
time of the calculation. In case of problems during the calculation this
information can be used to find bugs.
The processed ionization rates are stored on the server for 4 weeks or until
the users deletes it manually (which is highly appreciated) - whatever happens
5.) Contact Information
Responsible for the AIMOS project as well as the website and everything that
belongs to it is:
Dr. Jan Maik Wissing
University of Osnabrück
Institute of Environmental Systems Research