diff --git a/pages/Maintencance.md b/pages/Maintencance.md
index b0f801d12420820b30aa94321bc674a20a252e86..a6f7b8f512877885ccce0a7781e700ebbf922067 100644
--- a/pages/Maintencance.md
+++ b/pages/Maintencance.md
@@ -1,5 +1,5 @@
 ---
-Title: How to use VO SCS data
+Title: Producing data and publishing
 Author: Jutta
 Topics:
   - summary from open course 
@@ -8,26 +8,24 @@ Topics:
 status: draft
 ---
 
-### Use of third-party tools
+## Data Processing for publication
 
-A short [online course](https://edu.km3net.de/course/accessing-the-km3net-open-data/) has been provided at our Education Portal.
+### Particle event processing
 
-Complying with the standards set by IVOA, the KM3NeT open data are accessible with services defined by the Table Access Protocol (TAP). The services operating under this protocol allow the execution of queries in order to retrieve the data from the database tables as well as to inspect various metadata. The TAP services support SQL commands. It is highly recommended the queries to be written in Astronomical Data Query Language (ADQL). A nice introduction of ADQL used in a TAP service is found here. Another way to retrieve the data is the Simple Cone Search (SCS). This defines queries for sky search in a cone with given position and radius.
+### Multimessenger event generation
 
-The standard Table Access Protocol allows the existance of TAP clients. The most widely used are the Aladin client as well as the TOPCAT client. The TAP clients interoperate and communicate under the Simple Application Messaging Protocol (SAMP). There is also an option to access the data via python scripting. This is possible using the pyVO, a package affiliated with Astropy.
+### Text-based data and functions
 
-#### Using VO clients
-Information on how to download and install Aladin is found at https://aladin.u-strasbg.fr/java/nph-aladin.pl?frame=downloading.
+### Annotating external services
+
+## Maintenance of the Servers and Platforms
+
+### Upload and contributions
+
+### Containerization
+
+### Stability of service
 
-An introduction on how to use ADQL is found [here](http://docs.g-vo.org/adql/html/)
 
-  * Aladin: https://aladin.u-strasbg.fr/java/nph-aladin.pl?frame=downloading .
-  * TOPCAT: http://www.star.bris.ac.uk/~mbt/topcat/#install .
 
-#### Using the VO python interface
-You can find information on how to install Astropy at https://www.astropy.org/ and for the pyVO at https://pyvo.readthedocs.io/en/latest/
 
-Accessing data with Python:
-  * Astropy: https://www.astropy.org/ .
-  * PyVO: https://pyvo.readthedocs.io/en/latest/ .
-  * Matplotlib: https://matplotlib.org/3.1.1/users/installing.html .