Reaching FAIR Research Data in 6 Steps ♻️
Welcome to the FAIR Research Data Coursebook!! 🤓
Keywords: Research Data Management, Research Data Reuse, FAIR, FAIR Digital Objects.
About 📗
Usually, training materials on FAIR principles are tedious and contain extensive theory. In this Library Carpentries-based coursebook, we aim to teach the implementation of FAIR principles differently. It has low entry-level materials and examples that the average researcher can understand and immediately apply.
Some relevant topics the coursebook aims to address are the following:
- Get to know the importance of a “Research Digital Object”.
- Explore the available open-source tools for interoperability to make research digital objects sustainable.
- You will learn what “Data Terms of Use” and “Data Access Protocols” are and how to create them.
- You will review the differences and similarities of “Data Descriptions” in different science fields to discuss what we can do (as a scientific community) to standardize these practices.
- You will learn what “Rich Metadata” technically means on the Semantic Web and its relation to sustainable research output for future researchers.
💡 Following a bolder approach, we want to teach the implementation of FAIR principles differently. There is less focus on the theory and more emphasis on examples. Guided by 6 steps in Research Data Management
6 steps to FAIR
- 📜 Data Terms of Use
- 📋 Data Descriptions
- 🔒 Data Access Protocols
- 📦 Data Archiving
- 🏷️ Rich Metadata
- ♻️ Data Reusing
Acknowledgements 🙏
These efforts are realized with the support from the SURF funding for strengthening the RDM landscape on Digital Competence Center and the backing of Maastricht University Library.
This coursebook draws inspiration from the FAIR Teaching Handbook, incorporating various elements and illustrations from The Turing Way. Our approach aims to simplify the learning process for researchers by focusing on practical examples over theory. For those interested in delving deeper into FAIR principles, resources like the FAIR Cookbook where you can further explore.
Cite this Coursebook
Hernández Serrano, Pedro; Vivas Romero, Maria; Library Carpentries (2022, August 8): FAIR Research Data Coursebook. Zenodo. doi.org/10.5281/zenodo.6974103