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Data management – lessons for the future

Data management – lessons for the future. David Walton British Antarctic Survey. “Data is not information. Information is not knowledge. Knowledge is not understanding. Understanding is not wisdom” Stoll & Schubert. A Changing Environment.

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Data management – lessons for the future

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  1. Data management – lessons for the future David Walton British Antarctic Survey

  2. “Data is not information. Information is not knowledge. Knowledge is not understanding. Understanding is not wisdom” Stoll & Schubert

  3. A Changing Environment • Environmental concerns still at top of international agenda • Recognition of strategic importance of data at national level • Recognition of key role in NERC by Council • Key role to play in new science strategy

  4. Present objectives • Collecting and archiving all relevant data • Creating new linkages between data sets across disciplines • Enforcing standards & metadata creation • Making data available • Data Centres working together

  5. Continuing Challenges for Data Management • Recognition of the importance of quality

  6. Continuing Challenges for Data Management • Recognition of the importance of quality • Importance of accessibility, availability & usability

  7. Continuing Challenges for Data Management • Recognition of the importance of quality • Importance of accessibility, availability & usability • Tools for Discovery, Management & Application

  8. Continuing Challenges for Data Management • Recognition of the importance of quality • Importance of accessibility, availability & usability • Tools for Discovery, Management & Application • Inter-operability needs and tools

  9. Continuing Challenges for Data Management • Recognition of the importance of quality • Importance of accessibility, availability & usability • Tools for Discovery, Management & Application • Inter-operability needs and tools • Curation

  10. Highlighting New Challenges • Recognising the pervasive nature of data throughout NERC

  11. Highlighting New Challenges • Recognising the pervasive nature of data throughout NERC • Persuading Council that data management is as important as new science

  12. Highlighting New Challenges • Recognising the pervasive nature of data throughout NERC • Persuading Council that data management is as important as new science • Developing effective curation criteria that safeguard science yet are value for money

  13. Highlighting New Challenges • Policing NERC funded data - especially at HEIs

  14. Highlighting New Challenges • Policing NERC funded data - especially at HEIs • Development of system for data publication

  15. Highlighting New Challenges • Policing NERC funded data - especially at HEIs • Development of system for data publication • Interacting more effectively with many other groups

  16. The e-Infrastructure • Critical role for data managers • NERC’s role in informatics research • Tools to overlay and repurpose data for added value & new insights (but what is value for money here?) • Importance of Web 2.0, semantic tools and international data standards

  17. Future challenges for NERC • Applying data policies to HEIs

  18. Future challenges for NERC • Applying data policies to HEIs • Real recognition of the primary value of data in strategic plans and resource allocations

  19. Future challenges for NERC • Applying data policies to HEIs • Real recognition of the primary value of data in strategic plans and resource allocations • Maintaining and developing good practice

  20. Future challenges for NERC • Applying data policies to HEIs • Real recognition of the primary value of data in strategic plans and resource allocations • Maintaining and developing good practice • Application of INSPIRE

  21. Future challenges for NERC • Applying data policies to HEIs • Real recognition of the primary value of data in strategic plans and resource allocations • Maintaining and developing good practice • Application of INSPIRE • Rewarding good data practice

  22. Questions • ◊ Is there a role for NERC - through RCUK -in talking to Funding Councils & publishers about Open Data developments?

  23. Questions • ◊ Is there a role for NERC - through RCUK -in talking to Funding Councils & publishers about Open Data developments? • ◊ What is the right role for information specialists in teams and can it be realised?

  24. Questions • ◊ Is there a role for NERC - through RCUK -in talking to Funding Councils & publishers about Open Data developments? • ◊ What is the right role for information specialists in teams and can it be realised? • ◊ What must NERC do to maintain a leadership role in environmental data management?

  25. Questions • What new joint projects should be undertaken with neutral bodies like JISC and RIN to link answers across from Research Councils to HEIs?

  26. Questions • What new joint projects should be undertaken with neutral bodies like JISC and RIN to link answers across from Research Councils to HEIs? • How much capacity/capability training and development do we need to ensure the skills base we need?

  27. Questions • What new joint projects should be undertaken with neutral bodies like JISC and RIN to link answers across from Research Councils to HEIs? • How much capacity/capability training and development do we need to ensure the skills base we need? • Can we build further opportunities to use data for educational projects?

  28. Policy questions • Valuing all data sources with integrated management

  29. Policy questions • Valuing all data sources with integrated management • Institutional Repositories, Open Access Publishing and Publishers

  30. Policy questions • Valuing all data sources with integrated management • Institutional Repositories, Open Access Publishing and Publishers • Data sharing & data charging

  31. Policy questions • Valuing all data sources with integrated management • Institutional Repositories, Open Access Publishing and Publishers • Data sharing & data charging • Ownership, Intellectual Property Rights & their management

  32. Policy questions • Valuing all data sources with integrated management • Institutional Repositories, Open Access Publishing and Publishers • Data sharing & data charging • Ownership, Intellectual Property Rights & their management • Data Management in Knowledge Transfer

  33. Policy questions • Valuing all data sources with integrated management • Institutional Repositories, Open Access Publishing and Publishers • Data sharing & data charging • Ownership, Intellectual Property Rights & their management • Data Management in Knowledge Transfer • Behavioural changes for data deposit

  34. THE BIG PICTURE – Providing a service Know what your users want Understand how your users work

  35. FINALLY Programmes change People change Skill requirements change Funding changes BUT Data remain DATA are NERC’s greatest asset

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