Research lines

In order to focus its research and identify where and how to invest, the Data Science Institute identified three areas of specific importance for the next few years: data governance, data engineering, data analytics and modelling and decision support.

Research

Data governance

Data governance defines who can take what action, upon what data, in what situations, for which purposes, using what methods.

data ownership / custody
data accessibility
quality of (open) data
data semantics

Data engineering

Data engineering refers to all tasks and efforts needed in order to make raw data fit for analysis.

data profiling
data wrangling
data integration and cleaning
data semantics
query processing
big data management

Data analytics and modelling

Through data analytics and modelling, we get closer to obtaining insights from data. DSI’s models are inspired by physics, mathematics, statistics, computer science (heuristic), and may involve machine learning and AI.

Statistical modelling
Mathematical and numerical methods
Mathematical statistics
Physics inspired modelling

Decision support

We consider this a transversal theme, which integrates the expertise of the other research lines with the intention to support the decision making process of for example researchers, clinicians, policy makers, businesses.

In this research line, we develop methods, tools and proofs of concept.