The program has the following main characteristics:

  • at each of the 5 days present a module relevant for DS and DM

  • each module will be introduced by a 2-hour slot of disseminating knowledge and principles followed by practical sessions where participants get hands-on experience

The modules can be summarised as:

  1. Proper Repository: how to organise and assess a proper repository with the help of a professional repository application (DSpace:,

  2. Registering Environmental Data: upload environmental data into the repository, create metadata, assign augmented Persistent Identifiers (PID:,

  3. Collection Building and Using: create collections as subject of analysis, expose metadata, cite collections, etc.

  4. Data Typing: use data typing as an essential element to carry out transformation, visualisation and analysis via a Data Type Registry (DTR:

  5. Analysing Data: addressing the stored data and metadata via PIDs for analysis using BEAKER notebooks (, Python and R (

Programming and scripting will mainly done in Python and the tools to be used (D-Space, Handles, DTR, Beaker, R, etc.) are open source and can be used in the course.