FAIR Data Engineering

Module

Duration: 10 weeks
Start: t.b.a.
Costs: t.b.a.

Ik heb interesse

We are creating more data than ever before, all of which must be stored, transmitted, secured, and validated. This is a highly specialised field.

In this module, you will learn how to make data FAIR (Findable, Accessible, Interoperable, and Reusable), ensuring it becomes machine-readable rather than just human-readable. A cornerstone of FAIR data engineering is semantic web technology. You will learn how to give data meaning and teach a computer to reason logically, much like a human does. You will master the database language RDF (Resource Description Framework) for knowledge modelling and use SPARQL (the SQL equivalent for RDF) to execute queries. We further refine RDF data using ontologies, controlled vocabularies, and metadata. Finally, the FAIR Implementation Profile (FIP) and the FAIR Data Point (FDP) will be addressed.

Is this for you?

You hold an Associate Degree, Bachelor’s, or Master’s degree. You work in a data-intensive field and face challenges regarding how to make your data FAIR. Basic computer literacy is required. Programming experience in Python and experience with SQL databases is an advantage but not a prerequisite.

Course Overview

The FAIR Data Engineering course is part of the Computer Science degree programme (2nd year). The module spans 10 weeks and carries a study load of 5 ECTS.

Classes take place on Thursdays between 15:30 and 17:30. Our curriculum is flexible and offered via a hybrid model: online video lessons are available and assignments can be completed at home. However, we do require physical attendance for the introductory lesson and the sessions focused on metadata.

We offer practical assignments and case studies, but it is also possible to carry out assignments using your own organisation's data.

Subjects

The following subjects are covered during the module:

RDF (Resource Description Framework)
SPARQL
Web Ontology Language (OWL)
Controlled Vocabularies (Thesauri, Taxonomies, and SKOS)
Metadata
Logical Inference & Knowledge Discovery (a branch of Artificial Intelligence)
The FAIR Guidelines

Admission Requirements

An Associate Degree, Bachelor’s, or Master’s degree (in any field of study).
Basic computer skills (Windows) and general proficiency in using technology.
Experience with SQL or Python is a plus, but not required.

Successful completion of the module earns you a micro-credential. Micro-credentials certify the learning outcomes of short courses and training modules, providing a flexible and targeted way to demonstrate the knowledge and skills developed for your personal and professional growth

Puur praktisch

Duration and location

Duration
10 weeks

Class day
Thursday

Time
15.30-17.30

Study load
5 ECTS

Location
Hogeschool Leiden

Costs and planning

Course fee
To be announced

Start
To be announced

Why Leiden?

Leiden is renowned for its high-quality educational offerings, particularly in Healthcare, Education, and Life Sciences. It is also the birthplace of FAIR (the movement was founded here). Study with us to benefit from the expertise and personal approach of our specialist lecturers while enjoying the historic charm and cultural heritage of the city.