Data Management Planning for PhDs
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The document discusses what research data management is, the importance of developing a data management plan (DMP), and provides guidance on the key elements that should be covered in a DMP including what data will be produced, how it will be organized and documented, where data will be deposited, and how it will be preserved and made available for reuse. It also introduces online tools like DMPOnline that can help researchers create DMPs according to funder requirements and provides tips for writing effective DMPs.
Data Management Planning for PhDs
- 1. Data Management Planning Sarah Jones Digital Curation Centre [email protected] Funded by: •PhD workshop, University of Northampton
- 2. What is research data management? •5. •1. “the active management and •Preservation •& Re-Use •Create appraisal of data over the lifecycle of scholarly and scientific interest” •4. •2. •Publication •Active Use •& Deposit Data management is part of •3. •Documentation good research practice
- 3. What is a data management plan? A brief plan written at the start of your project to define: • how your data will be created? • how it will be documented? • who will access it? • where it will be stored? • who will back it up? • whether (and how) it will be shared & preserved? DMPs are often submitted as part of grant applications, but are useful whenever you’re creating data.
- 4. Why develop a DMP? • to help you manage your data • to make informed decisions so you don’t have to figure out things as you go • to anticipate and avoid problems e.g. data loss • to make your life easier!
- 5. What should a DMP cover? 1. What data will you produce? 2. How will you organise / look after the data? 3. How will you document the data? 4. What data will be deposited and where? 5. Who will be interested in re-using the data?
- 6. •1. What data will you produce? • What type of data will •5. •Preservation •1. you produce? •Create •& Re-Use • What types of file format? •4. •Publication •2. •Active Use • How easy is it to create •& Deposit or reproduce? •3. •Documentation • Who owns and is responsible for it?
- 7. •2. How will you look after the data? •5. • Is your data safe? •1. •Preservation •Create • How is your data •& Re-Use backed up? •4. •2. • Can you access it •Publication •& Deposit •Active Use when you need to? •3. • Is your data organised? •Documentation
- 8. •3. How will you document the data? • Do you still understand •5. •1. your older work? •Preservation •Create •& Re-Use • Is the file structure / naming understandable? •4. •Publication •2. • Are there standards you •Active Use •& Deposit can use? •3. •Documentation • How do you handle versions?
- 9. •4. What data will be deposited and where? • Are you expected to •5. •1. share your data? •Preservation •Create •& Re-Use • Are you allowed to share your data? •4. •Publication •2. • Which data will be •& Deposit •Active Use included in your publication / thesis? •3. •Documentation • Which can be discarded?
- 10. •5. Preservation and Re-use • How long will your data •5. •Preservation •1. •Create be reusable for? •& Re-Use • Do you need to prepare your data to deposit in •4. •Publication •2. •Active Use an archive? •& Deposit •3. • How will you make sure •Documentation you get citations & impact?
- 11. A useful framework to get you started •Think about why the questions are being asked – why is it useful to consider that? •Look at examples to help you understand what to write •www.icpsr.umich.edu/icpsrweb/content/datamanagement/dmp/framework.html
- 12. Help from the DCC •https://dmponline.dcc.ac.uk •www.dcc.ac.uk/resources/how-guides/develop-data-plan
- 13. ...a web-based tool to help researchers write Data Management Plans according to different funder requirements We’re currently enhancing it with practical examples, boilerplate text and tailored support https://dmponline.dcc.ac.uk
- 14. How DMP Online works Create a plan based on relevant funder / institutional templates... ...and then answer the questions using the guidance provided
- 15. Tips for writing DMPs • Seek advice - consult and collaborate • Consider good practice for your field • Base plans on available skills & support • Make sure implementation is feasible
- 16. Sources of guidance • ICPSR framework for a data management plan www.icpsr.umich.edu/icpsrweb/content/datamanagement/dmp/ framework.html • How to develop a data management and sharing plan www.dcc.ac.uk/resources/how-guides/develop-data-plan • UKDA’s manage and share your data guide • http://data-archive.ac.uk/media/2894/managingsharing.pdf
- 17. Thanks - any questions? Content for this sessions has been taken from Research360, a Jisc funded project which developed DMP resources for PhD students: http://blogs.bath.ac.uk/research360/category/training
- 18. Exercise: writing a DMP • Fill in the template based on your PhD • Discuss your plan – Did you know what to write? – Were the questions clear / understandable? – Was it useful to think about these issues?
Editor's Notes
- #12: I recommend this ICPSR resource It explains the importance of different questions as a pointer to how to answer Examples are given. This is the most frequent request we get at DCC - examples help researchers think of what to write for their context
- #13: The DCC has produced a How to guide on writing DMPs and developed a tool to help
- #14: There are various templates in DMP Online based on different funder requirements and institutional customisations