MS2017-02: Big Data Psychiatry Architecture

posted May 23, 2017, 6:50 AM by Marco Spruit   [ updated Dec 4, 2017, 8:23 AM ]
At the Psychiatry department of the UMCU, we are working on bringing the results from data analysis to the daily working practice. To be able to utilize all data from various sources within the UMCU, an ETL process is being created that ensures automatic and regular updates of all data, preprocessed into a format that is suitable for analysis. Currently, a set of pipelines exists that perform operations on the data. This process is implemented using various tools and programming languages, such as Gitlab, Jenkins, Sas, Pyton and R.

We have several open topics and questions about this, that can be suitable for an MBI thesis or a capita selecta project. For example:
  1. What is a good way to govern the system; i.e. who has acces to what data? Where in the process and by whom should this be arranged?
  2. How can we design, measure and improve the usability of the system?
  3. How can the architecture of the system be described and evaluated?
  4. How can we automatically create interesting dashboards, reports or other visualisations that moreover remain interesting after the first few iterations
Some topics might be suitable for a capita selecta project, especially the system architechture, ideally resulting in a paper. For an MBI thesis, the topics can be combined or further extended.

Please contact Vincent Menger or MS for more info.