Teaching & Learning Resources
To support the addition of information, evidence, and research data management, and reproducibility practices and principles to your teaching and learning, consider the following resources:
Books
Data Management Books for Researchers – An Annotated Bibliography. Goben A, Briney KA (2025) . Research Ideas and Outcomes 11: e154845. https://doi.org/10.3897/rio.11.e154845. This annotated bibliography, reviews currently available English-language data management books and identifies the limitations and opportunities for future publications
How to be FAIR with your data. Engelhardt C, et al. (2022). Universitätsverlag Göttingen. https://library.oapen.org/handle/20.500.12657/54460. This book aims to support higher education institutions with the practical implementation of content relating to the FAIR principles in their curricula, while also aiding teaching by providing practical material, such as competence profiles, learning outcomes, lesson plans, and supporting information.
Protocols
Teaching Integrity in Empirical Research: ProjectTIER is guided by the principle that providing comprehensive replication documentation for research involving statistical data should be as ubiquitous and routine as providing a list of references. The TIER Protocol specifies the contents and organization of reproduction documentation for a project involving computations with statistical data. TIER Protocol 4.0 & TIER in OSF (more on OSF)