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Introduction to Open Science in Empirical Research

Organizing institution
Utrecht University, University Library
Course code
Course fee (incl. housing)
€ 750
PhD level

The course will help PhD students and early career researchers from science and social science acquire the perspectives, knowledge and skills needed to make their empirical research more open, transparent and reproducible.

Open science is "the practice of science in such a way that others can collaborate and contribute, where research data, lab notes and other research processes are freely available, under terms that enable reuse, redistribution and reproduction of the research and its underlying data and methods” (EU FOSTER project). Open science is thus concerned with the practice of empirical research so that each step of the process can be challenged and/or reproduced.

Upon completion of the course, students will have acquired the perspectives, knowledge and skills needed to make their research more ‘open’.

The course will address the following themes
- Formulating an open research question;
- Developing an open research protocol;
- Maintaining open workflows;
- Writing open reports.

Tags: open science, research transparency, reproducibility, data science, interdisciplinary, phd, postdoc

» Download the day-to-day programme (PDF)

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Dr Arnaud Vaganay


The course will be most relevant to:
- Early career researchers (PhD candidates, postdoc researchers, etc.);
- With no or limited prior experience of open science tools/methods;
- Committed to adopt these tools/methods soon after the course;
- With demonstrated experience in conducting empirical research and analysing quantitative data;
- With a good grasp of the social science literature (economics, political science, psychology, sociology, social work, etc.) or the health science literature (biology, epidemiology, clinical trials, etc.);
- Reasonably familiar with Stata and, if possible, R.


Upon completion of the course, students will be able to:
1. Define open science and evaluate the openness of current research;
2. Discuss the main drivers and obstacles to openness and critically assess the proposed solutions;
3. Have basic command of the main open science software & apps.


20 contact hours spread over five consecutive days. The course includes:
− 10 hours of lectures;
− 10 hours of tutorials in computer lab (with R and Stata).


• € 750 - Course + course materials + housing

» Overview of all available discounts

The course Introduction to Open Science in Empirical Research can be combined with the following courses.


Utrecht Summer School doesn't offer scholarships for this course.


Dr Arnaud Vaganay

» Contact Utrecht Summer School


Deadline for registration: 01 March 2017

Application closed