Responsible research data management (RDM)Courses for beginning PhD candidates


Workshop information


ECTS: 1
Number of sessions: 1
Hours per session: 3
Entry level: Introduction
Course fee: 

  • This workshop is exclusively for PhD candidates of the Graduate School. 
  • Consult our enrolment policy for more information.

    Contact:

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


    You can only enrol for one edition of this workshop.


    Edition 1

    October 11 (Wednesday) 2017
    09:30-12:30
    Mandeville building (directions) room T3-6

    Edition 2

    May 15 (Tuesday) 2018
    13:30-16:30
    Theil building (directions) CT-2



    Introduction

    Increasingly, a data management and sharing plan is required for stakeholders like funding agencies or journals. Often, such a plan is essential in order to share, archive, and manage your research data. 

    But what are the consequences of research data management (RDM) and how do you take care for the long-term preservation, access, and reuse of your data? And which skills or techniques will be needed in order to curate knowledge? 

    Effectively managing data can help to optimise research outputs, increase the impact of 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.


    Aims and working method

    The workshop introduces the principles and methods of research data management. Best practices will be shared for working with research data, including personal data and an international collaboration setting. It’s important to understand what it requires to be as open as possible and as closed as necessary.


    Learning objectives

    After completion of this workshop, you will:

    • Access available information and support for their data management plan and actions
    • Apply the requirements of responsible data management know how to benefit from this
    • Identify the legal responsibilities to be addressed in your research and data management plans

    Suitable for / entry level / required skills

    Entry level skills: experience with designing a research project.
    Participants are not required to bring in their own data sets, but to have assessed their (potential) data set(s) in terms of issues already encountered or likely to encounter with working with your data.


    How to prepare / Preparatory assignments

    Overview of preparatory assignments or additional notes, i.e: 

    About the instructor

    Marlon Domingus is project manager RDM for EUR research. He leads the collaborating RDM community at EUR. In addition, he is co-chair of the legal working group at the National Research Data Management Coordination Point.