FAIR Research Data Management - A deeper dive into putting FAIR RDM into practice. Part 2

These training materials are part of a five-part course aimed at early career researchers on FAIR Research Data Management (RDM). We share these materials so that research data professionals can reuse them in their instructions or training sessions.

The main theme of this course are the FAIR principles: sharing research data that are Findable, Accessible, Interoperable and Reusable.

The FAIR RDM course is intended to be flexible and modular: we invite users to (re)use and adapt those parts that are suitable for their audience.

Sessions 1-3 of this course are aimed at absolute beginners: that is, those who likely have knowledge of research processes in general but are new to research data management and the FAIR principles. Sessions 4-5 are aimed at an intermediate level: those who have completed the first three modules and/or already have some existing knowledge of FAIR RDM.

The training session ‘A deeper dive into putting FAIR RDM into practice. Part 2’ was piloted in October 2024 as the fifh session of the 'FAIR Research Data Management' 5-session course (beginner and intermediate level). These were developed and piloted as part of the PATTERN project (https://www.pattern-openresearch.eu/).

In  ‘A deeper dive into putting FAIR RDM into practice. Part 2’ we covered the following topics:

Repositories

Licenses and data access statements

Data citation

How to build your own knowledge

Data and Research integrity

Learning Outcomes:

By the end of this session, learners will be able to:

1.  Understand the function of data repositories

2. Know how to find repositories relevant for your discipline

3. Know how to store data in a repository

4. Know which data licences are most suitable in specific situations

5. Know how to cite data

6. Assess role of FAIR RDM in own research activities

Project work:

An important component of these training sessions was project work that was conducted on the Projects platform (https://pattern.projects.directory/), which you will see references to throughout the slideshows in this series. We asked learners to do some exercises that are based on real research projects that produced and archived data some time in the past.  Eight 'use cases' were created, and participants chose one that mached their interests to work for the duration of the course. From the first session onwards, they then worked on these 'use cases' in the Projects platform, with regular 'check ins' with other learners during the live training sessions. The eight use cases have been uploaded to Zenodo separately.

File overview:

20241001_Pattern_FAIR_RDM_Session5_Slides: The central slideshow for this 2 hour training session

20241001_Pattern_FAIR_RDM_Session5_Exercise: The exercise that learners worked on during this session

20241001_Pattern_FAIR_RDM_Session5_SessionPlan: the document that we created to plan and manage the training session, which we believe will be useful for potential reusers of the content

Slideshows are uploaded in .pptx and .pdf format and text documents are uploaded in both .docx and .pdf 

Related records:

Session 1: 10.5281/zenodo.15310232

Session 2: 10.5281/zenodo.15310356

Session 3: 10.5281/zenodo.15310456

Session 4: 10.5281/zenodo.15310506

Use cases for FAIR RDM course: 10.5281/zenodo.15316306

 

 

DOI: 10.5281/zenodo.15310556

Licence: Creative Commons Attribution 4.0 International

Keywords: FAIR data principles, FAIR data, open data, research data, research data management, data management plan, open science

Status: Active

Authors: van Horik, René (orcid: 0000-0001-6899-760X), Brinkman, Loek (orcid: 0000-0003-3997-1173), van den Berk, Michelle (orcid: 0000-0002-1218-8448), Thorpe, Deborah Ellen (orcid: 0000-0002-2307-8770)


Activity log