1. Good practice in Research Data Management Module 3: Personal action planning

2. Topics Research Data Management planning checklists A checklist for the Newcastle University researcher

3. RESEARCH DATA MANAGEMENT PLANNING CHECKLISTS

4. ACTIVITY: PERSONAL ACTIONS

5. RDM Action planning Where are you now? Where do you want to be? How can you get there? What action will you take?

6. RDM planning checklists Help you maintain, preserve and add value to the research data produced throughout the project lifecycle Aids team members who have to produce Data Management Plans for submission to funders – and their subsequent development once funding awarded

7. 2 examples University of Oxford – http://www.admin.ox.ac.uk/rdm/dmp/checklist/ http://www.admin.ox.ac.uk/rdm/dmp/checklist/ MIT – http://libraries.mit.edu/guides/subjects/data- management/checklist.html http://libraries.mit.edu/guides/subjects/data- management/checklist.html

8. Defining actions Working through the checklist should help to define – Responsibility for actions in the plan – What further information is required to carry out actions

9. A 20 POINT CHECKLIST FOR THE NEWCASTLE UNIVERSITY RESEARCHER

10. Ncl Checklist (1-5) 1.Are tools or software needed to create, process, or visualise the data? 2.Are there any special privacy or security requirements? (personal data, high-security data); When should you not share your data or what data can’t you share? 3.Are there any sharing/ long term deposit requirements? (i.e. funder mandated repository) 4.Are there any other funder requirements you need to take account of? (i.e. data management plan in proposal) 5.Is there good project and data documentation, including adequate metadata?

11. Ncl Checklist (6-10) 6.What directory and file naming convention will you use? 7.What project and data identifiers will be assigned? 8.Is there a subject specific standard or other standard for data sharing/integration you should be using? 9.Do you have a storage and backup strategy? 10.When will you publish it and where?

12. Ncl Checklist (11-15) 11.Are tools or software needed to create, process, or visualise the data? 12.Are there any special privacy or security requirements? (personal data, high-security data); When should you not share your data or what data can’t you share? 13.Are there any sharing/ long term deposit requirements? (i.e. funder mandated repository) 14.Are there any other funder requirements you need to take account of? (i.e. data management plan in proposal) 15.Is there good project and data documentation, including adequate metadata?

13. Ncl Checklist (16-20) 16.What directory and file naming convention will you use? 17.What project and data identifiers will be assigned? 18.Is there a subject specific standard or other standard for data sharing/integration you should be using? 19.Do you have a storage and backup strategy? 20.When will you publish it and where?

14. ACTIVITY: PERSONAL ACTION PLANNING

15. 3 actions What key actions do you commit to undertaking? 1. ? 2. ? 3. ?

16. SESSION REVIEW

17. In summary Gathering the required information for data management is not a trivial process! – Key skill in academia – Should be shared between individual researchers and research groups, institutions, funders and national agencies Following the checklist should help you to define questions and lead to answers

18. Acknowledgemets Digital Curation Centre (DCC) – http://www.dcc.ac.uk/training http://www.dcc.ac.uk/training Research data MANTRA [online course], EDINA and Data Library, University of Edinburgh – http://datalib.edina.ac.uk/mantra/ http://datalib.edina.ac.uk/mantra/