RDM and DMP intro


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An introduction to Research Data Management and Data Management Planning for research managers and administrators. The presentation was given at the Open University on 18th July 2013.

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  • The DCC has produced a How to guide on writing DMPs and developed a tool to help
  • RDM and DMP intro

    1. 1. Introduction to RDM and Data Management Planning Sarah Jones DCC, University of Glasgow sarah.jones@glasgow.ac.uk Twitter: sjDCC
    3. 3. All manner of things that researchers produce in the course of their work What is research data?
    4. 4. Research data are collected, observed or created, for the purposes of analysis to produce and validate original research results Both analogue and digital materials are 'data' Digital data can be: created in a digital form ("born digital") converted to a digital form (digitised) Defining research data
    5. 5. “the active management and appraisal of data over the lifecycle of scholarly and scientific interest” Data management is part of good research practice What is Research Data Management? Create Document Use Store Share Preserve
    6. 6. What is involved in RDM? - Data Management Planning (DMPs) - Creating data - Documenting data - Storing data - Sharing data - Preserving data
    7. 7. Why manage research data? - so data can be found and understand when needed - to make sure research projects can be completed! - to avoid unnecessary duplication - to validate results if required - so research is visible and has impact - to get credit when others cite the research
    8. 8. Good data management is about making informed decisions
    9. 9. 5 key points to share...
    10. 10. 1. Research funders expect DMPs www.dcc.ac.uk/resources/policy-and-legal/overview-funders-data-policies
    11. 11. 2. Researchers should seek consent for data sharing & preservation too If not, data centres won’t be able to accept the data – regardless of any conditions on the original grant.
    12. 12. 3. Some formats are better for the long-term Type Recommended Avoid for data sharing Tabular data CSV, TSV, SPSS portable Excel Text Plain text, HTML, RTF PDF/A only if layout matters Word Media Container: MP4, Ogg Codec: Theora, Dirac, FLAC Quicktime H264 Images TIFF, JPEG2000, PNG GIF, JPG Structured data XML, RDF RDBMS Data centres may have preferred formats for deposit. If researchers plan to deposit in data centres they should check their expectations at the start of the research process. Further examples: http://www.data-archive.ac.uk/create-manage/format/formats-table
    13. 13. CCimagebymomboleumonFlickr 4. One copy = risk of data loss
    14. 14. 5. Researchers should know their options Encourage researchers to find out what support is available – Speak to the library & local IT support – Check out what facilities are available in the department – See what others in their discipline are doing – Find out what their funder expects and offers – Check out external data centres - http://databib.org Managing and sharing data guide by the UKDA www.data-archive.ac.uk/media/2894/managingsharing.pdf
    16. 16. What is a DMP? A short plan written by researchers that outlines • what data they will create and how • how they will manage it (storage, back-up, access…) • plans for data sharing and preservation
    17. 17. Why develop a DMP? DMPs are often submitted with grant applications, but are useful whenever you are creating data to: • Make informed decisions to anticipate and avoid problems • Avoid duplication, data loss and security breaches • Develop procedures early on for consistency • Ensure data are accurate, complete, reliable and secure • Save time and effort – make your life easier!
    18. 18. What do research funders want? • A brief plan submitted in grant applications • 1-3 sides of A4 as attachment or a section in Je-S form • Typically a prose statement covering suggested themes • An outline of data management and sharing plans, justifying decisions and any limitations
    19. 19. Five common themes 1. Description of data to be collected / created (i.e. content, type, format, volume...) 2. Standards / methodologies for data collection & management 3. Ethics and Intellectual Property (highlight any restrictions on data sharing e.g. embargoes, confidentiality) 4. Plans for data sharing and access (i.e. how, when, to whom) 5. Strategy for long-term preservation www.dcc.ac.uk/resources/data-management-plans/checklist
    20. 20. Tips on writing DMPs • Keep it simple, short and specific • Seek advice - consult and collaborate • Base plans on available skills and support • Make sure implementation is feasible • Justify any resources or restrictions needed
    21. 21. A useful framework to get started Think about why the questions are being asked Look at examples to get an idea of what to include www.icpsr.umich.edu/icpsrweb/content/datamanagement/dmp/framework.html
    22. 22. Example plans • Technical plan submitted to AHRC by Bristol Uni http://data.bris.ac.uk/files/2013/02/data.bris-AHRC-Technical-Plan-v21.pdf • Rural Economy & Land Use (RELU) programme examples http://relu.data-archive.ac.uk/data-sharing/planning/examples • UCSD example DMPs (20+ scientific plans for NSF) http://rci.ucsd.edu/dmp/examples.html • My DMP – a satire (what not to write!) http://ivory.idyll.org/blog/data-management.html
    23. 23. Help from the DCC https://dmponline.dcc.ac.uk www.dcc.ac.uk/resources/ how-guides/develop-data-plan A web-based tool to help researchers write data management plans, based on the DCC Checklist for a DMP
    24. 24. How does DMPonline work? Create a plan based on relevant funder / institutional templates... ...and then answer the questions using the tailored guidance provided
    25. 25. Institutions can customise DMPonline Select / write desired questions Add your logo, colours, URL… Profile local support via custom guidance and boilerplate text
    26. 26. Thanks – any questions? DCC guidance, tools and case studies: www.dcc.ac.uk/resources Follow us on twitter: @digitalcuration and #ukdcc
    27. 27. How to support researchers with DMPs? What role do (or should) you play? - Raising awareness of requirements? - Providing basic advice? - Pointing researchers to relevant services? - Helping to write plans and cost in RDM support? What do you need to support researchers? - Guidance on the intranet / FAQs? - Training (more than today?) - More time/resource?