User Log pipeline

Description

Data model for ingesting the user log information of a DISQOVER installation.

Data set content

DISQOVER is able to monitor the activity on the platform and analyze usage statistics, user interaction and much more. This data is stored in a compressed format on the server and can be ingested and processed by the DISQOVER Data Ingestion Engine.

For more information on accessing and structuring the usage metrics data, please check this page.

Download and import

1. Download and unzip the zipped pipeline yml file (see table below).
2. Import the pipeline yml file into the DISQOVER Data Ingestion Engine (in a new or existing pipeline) by clicking on the Pipeline menu button () in the opened pipeline menu bar and choosing Import pipeline from the drop-down list. 

Data model

The User Log pipeline configures the following data into canonical types:

1. User
   This is the category covering all the user data on the platform such as the account creation date, number of sessions, account status, ... 

2. Session
   This category covers all the session information on the DISQOVER installation. In general, a session stops after 30 minutes of inactivity. Information such as the user of the session, the Canonical Types searched, the links followed, the number of Actions, ... is retrievable in this Canonical Type.

3. Action
   This data category covers all data on the actions that happened during a session. Examples of information that can be retrieved in this Canonical Type are URIs of opened instances, which Facets were added, type of filtering, ...

4. Uncategorized
   Items linked to the other Canonical Types that have no noteworthy category.