The index gives another view on the material, linking together relevant content by cross cutting themes, such as roles of LIS professionals.

You could also use our “RU RDM Ready” self evaluation tool to think about your own learning priorities.

1. Overview of the module Session 1.1
2. Reflective skills Session 1.4
3. How to keep your knowledge up to date Session 4.1
4. RDM basics Session 1.2
5. The social organisation of academic research: disciplines, specialities, interdisciplinarity Session 2.1
6. The nature of research: research cycle, information practices, types of data Session 2.2
7. Perspectives of researchers, from the inside Session 2.3, session 2.4, session 4.2, session 4.3, session 5.1, session 5.2, session 7.1
8. DCC curation lifecycle model Session 3.1
10. OAIS reference model Session 3.1
Keeping up to date
11. DCC web site Session 4.1, session 4.2, session 4.3
12. JISC website Session 4.1, session 4.2, session 4.3
LIS roles in RDM
13. Potential LIS roles in RDM Session 1.3, session 7.2, session 7.3, session 8.2, session 8.3, see also the list in session 1.1 and session 4.5
14. Exemplars of LIS roles at other institutions Session 1.3
15. Potential impact on library organisational structures Session 1.3, session 6.5, session 8.2, session 8.3
LIS roles in RDM: Policy and advocacy
16. The strategic context in which RDM has become an issue Session 1.2, session 2.3, session 5.3
17. Institutional policies on RDM, including the local policy Session 2.3, session 6.2, session 8.2
18. Research council mandates and the RCUK “common principles on data policy” Session 2.3, session 5.3, session 6.4
19. The relation between open access of publications and RDM Session 5.3, session 7.1
Perspective of Research office on RDM Session 2.3, session 3.3, session 8.2
20. Perspective of computing services on RDM Session 2.3, session 3.3, session 8.2
21. How to persuade researchers of the importance of good research data management Session 2.3, session 5.3, session 6.1
LIS roles in RDM: Support and training
– IL
22. Key messages about data management best practice for researchers (at different levels – and including for students) Session 6.1, session 7.1
23. Teaching material about research data good practices relevant to groups you support Session 4.1, session 4.2, session 4.3, session 6.1
– Advice
24. Knowledge of who is who in library/research office/computing service Session 3.3
25. What a data management plan is and what is involved in writing one Session 3.2, session 7.1
26. Awareness of data repositories relevant to subjects you support Session 6.3
27. Understanding of how data might be cited in publications Session 6.4
28. Practical RDM principles Session 6.1
29. Sources for reusable data to promote to researchers Session 4.2, session 4.3, session 6.3
30. Licensing issues for data reuse Session 5.3
31. Knowledge of drivers for and barriers to data sharing, and of evidence for impact arising from data sharing Session 5.3
32. Knowledge/experience of a process to audit researchers about RDM practices Session 2.4, session 4.4, session 5.1
– Developing local curation capacity
33. Institutional infrastructure to support RDM Session 2.3
34. Policy considerations for the design of an institutional data repository Session 6.2, session 7.1, session 8.2


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