Promoting research integrity practices among doctoral candidates and early career researchers is important for creating a stable and healthy research environment. In addition to teaching specific technical skills and knowledge, research supervisors and mentors inevitably convey research practices, both directly and indirectly. We conducted a scoping review to summarise the role of mentors in fostering research integrity practices, mentors’ responsibilities and the role that institutions have in supporting good mentorship. We searched five different databases and included studies that used an (...) empirical methodology. After searching, a total of 1199 articles were retrieved, of which 24 were eligible for analysis. After snowballing, a total of 35 empirical articles were selected. The review discusses various themes such as the importance of good mentorship, poor mentorship practices, virtues and qualities of mentors, responsibilities and activities of mentors, group mentoring and responsibilities of the institution in supporting good mentorship. This review demonstrates the importance of mentors instilling responsible research practices and attitudes, and promoting research integrity among their mentees. Mentors are responsible for providing explicit guidance and for acting as good role models. The review highlights how poor mentorship can have a bad impact on the research climate. In addition, the review highlights the important influence that institutions can have in supporting mentorship. (shrink)

The basic components of data management including data ownership, collection, selection, recording, analysis, storage, retention, destruction, and sharing. A number of important principles underlie best practices for each of these components; these include recording details such that another can repeat the experiment, keeping the data safe, managing storage in such a way as to facilitate easy retrieval for the period of time required by regulatory agencies and establishing data sharing principles with colleagues before collaborations begin. Experience as practicing scientists and (...) teachers has aided in developing helpful strategies and approaches for communicating these principles, policies and practices to trainees and colleagues. We recommend didactic instruction focused by discipline, combined with the use of teachable moments in a student’s career, as well as teaching principles versus rules, because changing methods of data collection and storage have implications for data management practices. (shrink)