Data management plan format

1. Data management plan format Wouter Gerritsma, Wageningen UR Library

2. Data management plan • A data management plan is a formal document you develop at the start of your research project which outlines all aspects of your data (i.e., what you will do with your data during and after your research project). • Data management plan is not a static document, but needs adjustment at regular intervals

3. Data management policies • Currently there are not many funder requirements for data management in the Netherlands. • Data management policies are discussed by NWO and EC • NWO is on the brink to implement DM policies • Data management policies become mandatory for PhD's of Wageningen Graduate Schools per 04/2014

4. WGS format for a Data Management Plan • Format consists of 9 questions (http://www.wageningenur.nl/library/dmp) • The template assists you to go trough all these questions with explanation • Questions are illustrated with example from Lucy Vermeulen (PhD cadidate, ESA)

5. 1. Organizational Context • A data management belongs to a researcher, part of a group, and should have a file name to identify it on you computer.

6. 1. Organizational Context • A data management belongs to a researcher, part of a group, and should have a file name to identify it on you computer.

7. 2. Give a short description of your work • There is no need to repeat what is in you research plan, but a short description to give some context to the reader is sufficient. • Give two or three lines to explain what is not obvious from the title

8. Short description of your research • Give two or three lines to explain what is not obvious from the title

9. 3. Define data management roles • Who has control over the data, what is the role of your supervisor? Who owns the data? Is there a person in the research group with a specific responsibility for data analysis and management?

10. 3. Define data management roles • Who has control over the data, what is the role of your supervisor? Who owns the data? Is there a person in the research group with a specific responsibility for data analysis and management?

11. 4. Give an overview of expected type of research data, software choices, data size & growth • Identifying your possible research data before you actually start collecting those data, makes sure no research output is overlooked.

14. Borrow from your groups' plan • Excerpt from DMP of the Division Toxicology

15. 5. Short term storage solutions

16. 5. Short term storage solutions

17. 6. Structuring your data and information

18. 7. Documentation and metadata • Describe how you are going to document your data collection process, what the resulting data files comprise and how they will be processed further. Think about documenting the: • content (what does your dataset contain?) • context (who, what, why, where and how will the data be collected and analysed) • process (are there specific processes and does it make sense to organise notes by process?)

19. 7. Documentation and metadata • Describe how you are going to document your data collection process, what the resulting data files comprise and how they will be processed further. Think about documenting the: • content (what does your dataset contain?) • context (who, what, why, where and how will the data be collected and analysed) • process (are there specific processes and does it make sense to organise notes by process?)

20. 8. Sharing and ownership • Do you expect that others may be interested to re-use you data, and do you have plans to share it with them? • How are you going to make sure your data files will be accessible once you leave the department? • Are there specific funder’s requirements to share you data, or to impose an embargo? • If other parties (outside your group or outside Wageningen UR) are involved in this research, are there agreements how the data will be used and shared? • Are there privacy or security issues, and if there are, how are you dealing with them?

21. 8. Sharing and ownership • Do you expect that others may be interested to re-use you data, and do you have plans to share it with them? • How are you going to make sure your data files will be accessible once you leave the department? • Are there specific funder’s requirements to share you data, or to impose an embargo? • If other parties (outside your group or outside Wageningen UR) are involved in this research, are there agreements how the data will be used and shared? • Are there privacy or security issues, and if there are, how are you dealing with them?

22. 9. Long term storage • Which part of your research data has value for long term storage? • Do you intend to preserve these data for the long term? • If not, argue why. • Is there a common practice in your field or do you intend to use the services provided by Wageningen UR?

23. 9. Long term storage • Which part of your research data has value for long term storage? • Do you intend to preserve these data for the long term? • If not, argue why. • Is there a common practice in your field or do you intend to use the services provided by Wageningen UR?

24. Examples of long term storage • http://library.wur.nl/WebQuery/wurpubs?A170=dat

29. Thank you! Courtesy to Lucy Vermeulen who allowed us to share parts of her DMP The input of Marina Noordegraaf @insearch4dataand Hugo Besemer is acknowledged On the Web: @wowter wowter.net http://www.slideshare.net/wowter