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Research Data Management - A DIY Guide: What? Why? How?

A tutorial on research data management workflows and digital tools presented to Ph.D. students and researchers at the Computational Methods Hub, at Imperial College London.

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Research Data Management - A DIY Guide: What? Why? How?

  1. 1. Research Data Management: A DIY Guide – What? Why? How? CM Hub Research Data Management Tutorial Imperial College London, 23rd June 2016 Ash Barnes and Sarah A. Stewart Research Data Management Team Central Library Imperial College London rdm-enquiries@imperial.ac.uk
  2. 2. Library Services Research Data Management: A DIY Guide – What? Why? How? Presented by: Ash Barnes – Research Data Support Manager Sarah Stewart – Research Data Support Assistant rdm-enquiries@imperial.ac.uk
  3. 3. What is Research Data Management? • ‘Research Data Management is the planning, organisation and preservation of the evidence that underpins all research conclusions. Good data management ensures data is safely stored, findable and can be used to reproduce findings.’ • - Imperial College London Research Data Management Guide.
  4. 4. What are Data?
  5. 5. Data are… “Facts and statistics collected together for reference or analysis” (Oxford Dictionary of English 3rd ed) “Information, especially facts or numbers, collected to be examined and considered and used to help decision- making…” (Cambridge Advanced Learners Dictionary & Thesaurus) "Research data is defined as recorded factual material commonly retained by and accepted in the scientific community as necessary to validate research findings; although the majority of such data is created in digital format, all research data is included irrespective of the format in which it is created."
  6. 6. Data are… - Quantitative or Qualitative measurements, automated or observed - Biological or medical specimens - Images (photographs, drawings, etc.) - Field and lab notes (observations) - GIS measurements - Simulations - Software/code - Videos - Interviews - Government records - Different file formats - Etc. What do you think data are? What types of data do you use/generate?
  7. 7. The Data Lifecycle
  8. 8. Why is Research Data Management Important? Good Professional Practice: - Funder mandates and requirements - Supports institutional integrity (Imperial College policy) - Supports collaboration through data sharing and re-use - Reduces redundancy in research Value to you as a Researcher: - Reduce the risk of data loss - Increased efficiency - Validated and replicable research - Increased sharing and re-use (increased possibilities for collaboration) - Increased citations - Increased Impact!
  9. 9. The importance of RDM… “In their parents' attic, in boxes in the garage, or stored on now-defunct floppy disks — these are just some of the inaccessible places in which scientists have admitted to keeping their old research data.” http://www.nature.com/news/scientists-losing-data-at-a-rapid-rate- 1.14416
  10. 10. Protect your Data
  11. 11. A Near Miss!
  12. 12. Funder requirements… “Publicly funded research data are a public good, produced in the public interest, which should be made openly available with as few restrictions as possible…” RCUK Common Principles on Data Policy
  13. 13. Funder requirements
  14. 14. Research Data Management Is Good Practice
  15. 15. How to Manage your Research Data at Imperial
  16. 16. Data Management Plans - Funder requirement/mandate (eg. EPSRC, Wellcome, NIH) - Fundamentals of data-handling during the course of the project. - Supports data use and re-use beyond the life of the project. - Plan for data security and sharing. - Long-term data storage following the end of the project.
  17. 17. Data Management Plans: DMPOnline
  18. 18. Working with ‘Live’ Data: Box - Unlimited data storage - Easy sharing and collaboration - Automated backup - Machine-learning: metadata - Integration with MS Office - Further developments…
  19. 19. Archiving your Data: Zenodo
  20. 20. Publishing your Data: The Data Access Statement
  21. 21. Publishing your Data: Making it Discoverable on Symplectic
  22. 22. Looking for Data? Repositories! - Re3data - DataCite - Zenodo - Dryad - Figshare - Spiral – Institutional Repository for Imperial College London - Arxiv, Bioarxiv, etc. – Subject-specific data repositories
  23. 23. Any Questions ? Thank you! For more Information: Webpage: www.imperial.ac.uk/research-data-management E-mail : rdm-enquiries@imperial.ac.uk RDM Team – Ash Barnes, Sarah Stewart

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A tutorial on research data management workflows and digital tools presented to Ph.D. students and researchers at the Computational Methods Hub, at Imperial College London.

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