Prepare your publication package

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Introduction

Key terms: management of your PhD project, archiving, open science, FAIR, introductory course, mostly relevant for students in the beginning of their PhD trajectory.

ECTS: 1 
Number of sessions: 1
Hours per session: 3 

Researchers should ensure that it is clear to others what data their research is based on, how the data were obtained, and how the results were achieved, and they need to make certain that the research process steps are verifiable.

This information is offered in a publication package, which consists of all data, materials and information that are needed to reproduce and assess published research results.

Publication packages facilitate open science and research transparency, and they are therefore increasingly considered mandatory in universities.

In addition, publication packages support continued access to data and provide a clear record of the research process, even after the project concludes. This facilitates the replication of methods in future work, and makes it easier to explain your research to others.

You’ll benefit most from the course if you bring your own data (raw or processed) and other research materials you already have available, such as research plans and instructions. This will allow you to begin developing a publication package tailored to your own project during the course.

It is not a problem if you do not yet have your own research materials. You will not be able to reflect and apply the idea of a publication package on your own research, but you will still learn about the importance and function of publication packages.

 

Entry level and relevance


This course can be attended without any prior knowledge or experience. However, the course will become easier for you if you have a basic understanding of open science and data management . Courses that you can follow to obtain this minimum knowledge level are mentioned below.

The course is useful for all PhD researchers who conduct empirical research.

We recommend attending the course at the start of your PhD trajectory, so that you can develop publication packages for your whole project.

 

Relations with other courses


Publication packages are relevant within the broader frameworks of open science and data management, which are more comprehensively discussed in the EGSH course Open science and research transparency. You may follow the latter course as a preparation, but this is not mandatory.  

 

How to prepare

 
You will be asked to bring your own data and materials so that you can start with creating a publication package for your own project during the course. Please contact the lecturer if you have any doubts or questions about what you should bring with you.

Key Facts & Figures

Duration
3 hours
Price
Free and paid
Micro Credential
No
Teaching mode
In-person

What will you achieve?

  • After this course, you will be able to explain the components of a publication package.
  • After this course, you will be able to apply best practices in documenting, organising, sharing, and archiving your research data.
  • After this course, you will be able to produce a publication package for your own research project.
  • After this course, you will be able to determine which parts of the package need to be published and which parts need to be archived internally.
  • After this course, you will be able to find available information and support for completing a publication package.

Start date

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Edition 1 - *

Session 1: November 12 (Wednesday) 2025 | 13.00-16.00 hrs | Offline (Van der Goot building, room M1-18)


Edition 2

Session 1: May 20 (Wednesday) 2026 | 10.00-13.00 hrs | Offline (Langeveld building, room 1.09)

 * Please note that there are 2 different registration links for this edition: one for members only, and one for non-members. 
Please select the link applicable to your situation when you register.

Instructor

  • Portrait Mark Mulder
    Mark Mulder is a Research Data Steward at the Erasmus School of Social and Behavioural Sciences (ESSB). He advises and supports researchers on how to organise their research data effectively in accordance with international standards. He also advises large consortia such as the Growing Up Together in Society (GUTS) research program on coordinating data storage and data sharing between nine institutions. He has a background in psychology and obtained his Master in Economic and Consumer Psychology at Leiden University in 2019.

Contact

Telephone: +31 (0)10 4082607 (Graduate School).

Facts & Figures

Duration
3 hours
Price
  • free for PhD candidates of the Graduate School
  • €300,- for non-members
  • Consult our enrolment policy for more information.
Tax
Not applicable
Micro Credential
No
Instruction language
English
Teaching mode
In-person

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