
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. To facilitate project based learning, eight documents with use cases and exercises were created for and used during the 'FAIR Research Data Management' 5-session course (beginner and intermediate level). The course was developed and piloted as part of the PATTERN project (https://www.pattern-openresearch.eu/). Project work was conducted on the Projects platform (https://pattern.projects.directory/). Instructors 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 on for the duration of the course. Each use case project consists of 5 assignments that are aligned with the five training sessions, and they worked on these assignments between the weekly training sessions, with check in group discussions held during each session: • Assignment 1: FAIRness of data (completed after Session 1, discussed in Session 2)• Assignment 2: Project DMP (completed after Session 2, discussed in Session 3)• Assignment 3: Project documentation (completed after Session 3, discussed in Session 4)• Assignment 4: Data Repository (completed after Session 4, discussed in Session 5)• Assignment 5: Policy and practice (completed during/after Session 5) File overview: 2024_ProjectUseCase1_Pattern_FAIR_RDM - Project 1: The history of cat ownership 2024_ProjectUseCase2_Pattern_FAIR_RDM - Project 2: Open Science Practices 2024_ProjectUseCase3_Pattern_FAIR_RDM - Project 3: Phytoplankton in the Northwest Adriatic Sea 2024_ProjectUseCase4_Pattern_FAIR_RDM - Project 4: The evolutionary origin Altai Falcon 2024_ProjectUseCase5_Pattern_FAIR_RDM - Project 5: The role of septin proteins in skeletal muscle regeneration 2024_ProjectUseCase6_Pattern_FAIR_RDM - Project 6: Diversity in Activities of Daily Living (ADL) 2024_ProjectUseCase7_Pattern_FAIR_RDM - Project 7: Iron Age rock art 2024_ProjectUseCase8_Pattern_FAIR_RDM - Project 8: Sediment remediation 2024_ProjectUseCaseOverview_Pattern_FAIR_RDM: Instructions and overview of use cases and project work Each document is provided in .docx and .pdf format
FAIR data, open science, open data, research data management, FAIR data principles, research data, data management plan
FAIR data, open science, open data, research data management, FAIR data principles, research data, data management plan
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
