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Future Lessons in Data Management: Insights from the British Antarctic Survey

In a rapidly changing environment, the importance of effective data management is paramount. David Walton from the British Antarctic Survey highlights the essential distinction between data, information, knowledge, understanding, and wisdom. The strategic role of data management at the national level is emphasized, alongside the need for interoperability, accessibility, and usability of data. Key challenges include ensuring quality, managing funded data, and developing systems for publication. As environmental concerns remain at the forefront, embracing innovative data management practices will be crucial for future success.

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Future Lessons in Data Management: Insights from the British Antarctic Survey

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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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