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Researcher needs - a researchers perspective

Andy Turner's slides presented at the Directions for Research Data Management in UK universities event on 6/7 November 2014

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Researcher needs - a researchers perspective

  1. 1. Researcher needs – a researchers perspective Andy Turner Turner, A.G.D. (2014) Researcher needs – a researchers perspective. Presentation slides for the Jisc, RLUK, SCONUL, UCISA, ARMA and RUGIT Directions for Research Data Management in UK Universities Meeting, Cambridge, 2014-11-06, http://bit.ly/RDMRP14
  2. 2. Outline ● Researchers ● Research ● Research data ● Researcher needs ● Key issues ● Personal reflections
  3. 3. Researchers ● Individuals o Professionals  Career stage  Status  Roles ● Leaders, assistants o Students  Postgraduates  Undergraduates
  4. 4. ● Organisations o Research groups/centres/institutes  Multi-institutional ● Multi-national ● UK based  Within institutions o Status o Structure and support o Sustainability
  5. 5. Research ● Vast range of subjects o STEM o Social Science o Arts and Humanities o Language ● Directly funded projects o Range of funding organisations  Publicly funded  Privately funded
  6. 6. ● Indirectly funded projects ● Ethics o Research Data Management (RDM) ● Learning can be messy ● Types of research o Practical, Theoretical o Goal driven, Curiosity driven o Qualitative, Quantitative, Experimental
  7. 7. Research Data ● Reference/source/input data ● Derived data ● New data ● Observations and measurements ● Synthetically generated data ● Reproducible o Practicalities o Non-reproducible data
  8. 8. ● Curators and archivists o Academic, Government, Galleries, Libraries, Archives, Museums, Private ● Open data ● Restricted access data ● Big data o Volume, Variety, Velocity, Veracity, Value
  9. 9. Physical research data ● Samples ○ Soil ○ Human tissue ○ Physical artefacts and compilations ■ Old manuscripts ■ Film ● Apparatus for accessing and viewing research data
  10. 10. Digital research data ● Two main categories o Data not about people o Data about people  Personal data ● Confidentiality ● Disclosure control  Anonymised/pseudonymised ● Data about places
  11. 11. Researcher needs ● Researchers need resources to survive as researchers o Are good Data Management Planning and RDM rewarded commensurately? ● RDM needs vary depending on o The role, skills, experience and status of researchers o Researchers awareness of the resources they can use to support and develop their research
  12. 12. ● Researchers applying for funding are expected to budget for research storage and in many cases develop a DMP as part of the application process o Some may need more help with this than others in order to be successful
  13. 13. ● Researchers working on research projects should o Develop and implement the projects DMP  Organise the projects data  Develop metadata o Consider the difficulties others may encounter in retracing their work  Conclusions are stronger if they can be verified and subject to further closer scrutiny
  14. 14. ● Researchers should o Develop an awareness of and adopt open principles  Use of open standards  Use and development of (sustainable) open source software that is well tested and documented  Open access publishing ● Appropriate credit for research data developed in projects that is used by others
  15. 15. Key issues ● Research data sharing o What new research is enabled?  What new discoveries and developments can be based in part on the research data you make available/curate o When to share and how to share? o Due credit ● Storage o Physical storage
  16. 16. o Digital storage o How much protection do we need for storage?  The more protection the greater the cost o Some research will generate or require the storage of very large volumes of digital data  Enormous volumes of active research data in computational simulations o Long term archiving  How long term?
  17. 17. o Will the application for research project funding be uncompetitive if the costs for data storage are not minimised by taking greater risks with regard data storage? o What to store and what to decide to destroy and when? ● Metadata ● Software ● Validation and verification
  18. 18. ● Metric, credit and funding ● e-Infrastructure o EU, National, Regional, Institutional ● Personal data, ethics and further research ● Data re-use ● Sustainability and risk
  19. 19. Personal reflections ● Mess o Stan’s stroke o Death of the webserver o It all went down the portal again! ● Best practise ● Research Data Leeds ● Ethical dilemmas o Consent and valuable data
  20. 20. Notes ● Directions for Research Data Management in UK Universities Meeting, Cambridge, November 2014 o http://bit.ly/D4RDM14

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