Essentials 4 Data Support

About this course

Essentials for Data Support course is an introductory course designed for professionals entering the field of research data management (RDM) support. This hybrid course equips participants with knowledge about tools, best practices, and support mechanisms for effectively assisting researchers in managing their data. The full course includes interactive sessions with experts, peer learning with participants and coaches and hands-on assignments to help participants develop a strong understanding of the RDM landscape in the Netherlands.

  • The full course starts with a course day during which you will meet your fellow course participants, your instructors and a number of experts in the field. The instructors will also explain the structure of the online part of the course.
  • Until the second course day (about six weeks later) you will have time to study the content of the online learning environment. Among other things, you will be asked to do a current topic assignment, create a data management plan, reflect on your learning process, comment on a case about the legal framework for research data and end with an assignment of your choice. Moodle is used for the assignments.
  • The second course day focuses on presentations by the course participants and an evaluation. In addition, a number of experts will talk about their own experiences .
  • After the course, you will have access to course materials and assignments on the Moodle platform for continued learning and networking.

Target audience

  • Individuals starting their careers in RDM support at academic institutions, libraries, or data services.
  • Professionals transitioning into roles that require basic knowledge of research data support
  • Those seeking a foundational understanding of RDM practices and tools

Time investment in the course

In addition to the two course days, the average online study load is four to probably six hours per week (50 hours in total).

Certification

Participants who attend both in person days and complete all assignements will receive a certificate of attendance

Learning goals

1

Understand RDM Fundamentals

Explain the key principles of research data management, including data lifecycle, FAIR data principles, and data sharing ethics.

2

Identify Support Mechanisms

Familiarize themselves with tools, services, and repositories available for RDM in the Netherlands. Understand the roles of various stakeholders in the RDM ecosystem.

3

Develop Practical Skills

Assist researchers with data management plans (DMPs), metadata standards, and data storage options. Provide guidance on complying with national and institutional data policies.

4

Collaborate and Communicate Effectively

Engage in conversations with researchers to understand their RDM needs and challenges. Present RDM solutions tailored to discipline-specific contexts.

5

Reflect on Case Studies

Analyse and present case studies highlighting real-world RDM challenges and solutions.