Responsible research data management (RDM)

General skills courses


Workshop information

ECTS: 1.5
Number of sessions: 2
Hours per session: 4 hours (session 1), 3 hours (session 2)
Course fee: 

  • This workshop is exclusively for PhD candidates of the Graduate School. 
  • €195,- for non-members
  • Consult our enrolment policy for more information.

Contact:

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


In the academic year 2021-2022 this course will take place online.

Edition 1 (online)

October 7 (Thursday) 2021
09.30-12.30
 

Edition 2 (online)

Session 1
May 19 (Thursday) 2021
09.30-13.30

Session 2
May 25 (Wednesday) 2021
09.30-12.30
 


Introduction

Increasingly, researchers are expected to make their research data available, in such a way that it is “as open as possible and as closed as necessary”. Additionally, having a data management plan is required by many stakeholders like funding agencies, ethical review boards, or journals.

But what does this mean, and how can you put this into practice? What are the practical consequences of research data management (RDM) and how do you handle personal/sensitive data and take care of long-term preservation, access, and reuse of your data? These and related questions about RDM are the topic of this workshop.

We will discuss best practices for documenting, organizing, sharing, and archiving your research data, including personal data and working in international collaboration settings. You will practice with writing a README and learn how to write or improve the data management plans for your own research projects.

Effectively managing data can help to optimise research outputs, increase the impact of your research, and support open scientific inquiry. After completing this workshop, PhD candidates will be better equipped to manage their data throughout the entire research data lifecycle, from the stage of project planning to the end.


Learning objectives

After completion of this workshop, you will be able to:

  • identify legal and privacy issues to be addressed in your research and data management plans;
  • apply best practices to document, organize, share, and archive your research data;
  • explain the FAIR principles and the importance of metadata for research;
  • complete data management plans for your research;
  • and find available information and support for research data management.

Entry level

Besides having some prior experience with research data (could also be in the Bachelor/Master phase), there are no specific entry requirements for this course.


How to prepare / Preparatory assignments

Before the first session participants should have done the following:

  1. Take the short training module on Privacy in Research: https://maken.wikiwijs.nl/125518/Privacy_in__Research
  2. Read the following article: Briney, K., Coates, H., & Goben, A. (2020). Foundational Practices of Research Data Management. Research Ideas and Outcomes, 6, e56508. https://doi.org/10.3897/rio.6.e56508 (Open Access)
  3. Respond to a short survey about data management in your project. The survey will be sent to you by email shortly after the enrolment deadline.
  4. Suggested reading for researchers working with qualitative data: DuBois, J. M., Strait, M., & Walsh, H. (2018). Is it time to share qualitative research data?. Qualitative Psychology, 5(3), 380. https://doi.apa.org/fulltext/2017-12030-001.html (Open Access)
  5. Try to reflect on possible privacy, legal and research data management issues that you might encounter in your PhD research projects (or which you already encountered). Having examined potential issues before starting the course will help you make the most out of this course and to implement the best practices being taught.

E-modules

PhD information skills

The Erasmus University Library has developed several e-learning modules on, among other subjects, responsible research data management. These modules consist of short videos, activating exercises and explanatory texts. The e-modules are complementary to our existing courses on information skills:

More information on the e-modules PhD information skills


About the instructors

Eduard Klapwijk is a Research Data Steward at Erasmus University as well as a postdoc in the university’s SYNC lab. He advises and supports researchers on how to organise their research data effectively in accordance with international standards and develops and implements research data management guidelines with the aim to make research more open and reproducible. His main focus as a postdoc at Erasmus University is to determine the optimal sample size in developmental studies for a range of fMRI tasks. 

Nils Arlinghaus is a Research Data Steward at Erasmus Research Services (ERS) and primarily supports researchers at the Erasmus School of History, Culture and Communication (ESHCC) and the Erasmus School of Philosophy (ESPhil). He advises and supports researchers with all topics related to managing research data, while also working on the EUR-wide efforts to move research practice towards FAIR data and open & responsible science.