Data Management Planning


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Presentation given to creative arts PhD students at the 'Processes and Outcomes, Paths and Products' conference on 21st November at the CCA, Glasgow

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  • 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
  • The DCC has produced a How to guide on writing DMPs and developed a tool to help
  • Data Management Planning

    1. 1. Data Management Planning Sarah Jones & Joy Davidson HATII, University of Glasgow Funded by: •POPP conference, CCA, Glasgow
    2. 2. What is research data? All manner of things that you produce in the course of your research
    3. 3. Defining research dataResearch data are collected, observed or created, forthe purposes of analysis to produce and validateoriginal research resultsBoth analogue and digital materials are dataDigital data can be: created in a digital form ("born digital") converted to a digital form (digitised)
    4. 4. 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
    5. 5. 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.
    6. 6. 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!
    7. 7. What should a DMP cover?1. What data will you produce?2. How will you organise / look after the data?3. Can you / others understand the data?4. What data will be deposited and where?5. Who will be interested in re-using the data?
    8. 8. •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?
    9. 9. •2. How will you look after the data? •5. •Preservation •1. • Is your data safe? •Create •& Re-Use • Is your data organised? •4.•Publication •2. •Active Use • Can you find your •& Deposit data? •3. •Documentation
    10. 10. •3. How will you document the data? • Do you still understand •5. •Preservation •1. your older work? •Create •& Re-Use • Is the file structure / naming understandable •4. •2. to others? •Publication •Active Use •& Deposit • Which data will be kept? • Which data can be •3. •Documentation discarded?
    11. 11. •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. • Define the core data set •& Deposit •Active Use of the project •3. • Which data will be •Documentation included in your publication / thesis?
    12. 12. •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 for long term •4.•Publication •2. •Active Use archive? •& Deposit •3. • Which data do you need •Documentation to keep?
    13. 13. 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•
    14. 14. Help from the DCC ••
    15. 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. 16. Sources of guidance• ICPSR framework for a data management plan framework.html• How to develop a data management and sharing plan• UKDA’s manage and share your data guide•
    17. 17. AcknowledgementContent for this sessions has been taken from two projectswhich have developed DMP resources for PhD students:• DataTrain• Research360•
    18. 18. Thanks - any questions?For DCC guidance, tools and case studies see: us on twitter @digitalcuration and #ukdcc
    19. 19. Exercise: writing a DMP• Fill in one of the templates 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?