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Evolution or revolution? The changing data landscape Dr Liz Lyon, Director, UKOLN, University of Bath, UK Associate Director, UK Digital Curation Centre 1 st DCC Regional Roadshow, Bath, November 2010. UKOLN is supported by:.

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  1. Evolution or revolution? The changing data landscape Dr Liz Lyon, Director, UKOLN, University of Bath, UK Associate Director, UK Digital Curation Centre 1st DCC Regional Roadshow, Bath, November 2010 . UKOLN is supported by: This work is licensed under a Creative Commons LicenceAttribution-ShareAlike 2.0

  2. “Data sets are becoming the new instruments of science” Dan Atkins, Univ Michigan

  3. Digital data as the new special collections? Sayeed Choudhury, Johns Hopkins

  4. Research data : institutional crown jewels? http://www.flickr.com/photos/lifes__too_short__to__drink__cheap__wine/4754234186/

  5. Perspectives Environmental scan Scale and complexity Infrastructure Open science Policy Funders Institutions Ethics & IP Practice Challenges Storage Incentives Costs & Sustainability http://www.flickr.com/photos/thegreenalbum/3997609142/

  6. Big science

  7. Data collections High throughput experimental methods Industrial scale Commons based production Publicly data sets Cherry picked results Preserved GenBank PDB ChemSpider UniProt CATH, SCOP (Protein Structure Classification) Pfam Spreadsheets, Notebooks Local, Lost Slide: Carole Goble

  8. Structural Sciences Infrastructure

  9. Infrastructure Roadmap Cross Organisations

  10. Infrastructure Roadmap Cross Disciplines

  11. Infrastructure Roadmap Open Science

  12. Open Laboratories

  13. Citizen as scientist • Faculty work with public • Smartphone apps facilitation • Societal benefits

  14. Validate results data

  15. Policy

  16. Institutional perspective • Creating & organising data • Storage and access • Back-up • Preservation • Sharing and re-use INCREMENTAL Project The majority of people felt that some form of policy or guidance was needed....

  17. Jeff Haywood, RDMF V October 2010 http://www.dcc.ac.uk/sites/default/files/documents/RDMF/RDMF5/Haywood.pdf

  18. “Data sharing was more readily discussed by early career researchers.” “While many researchers are positive about sharing data in principle, they are almost universally reluctant in practice. ..... using these data to publish results before anyone else is the primary way of gaining prestige in nearly all disciplines.” INCREMENTAL Project

  19. JISC FoI FAQ Data is headline news “In our view, CRU should have been more open with its raw data…”

  20. P4 medicine: Predictive, Personalised, Preventive, Participatory.Leroy Hood – Institute for Systems Biology Your genome is basis for your medical record

  21. Open data and ethics • Direct-to-Consumer kits • Informed consent? • Privacy? • UC Berkeley initiative • Implications for HE students & staff?

  22. Policy Gaps... Is Policy disconnected from Practice? Data Sharing Data Licensing Ethics and Privacy Citizen Science & Public Engagement Data Storage, Selection & Appraisal Data Citation and Attribution

  23. http://www.flickr.com/photos/mattimattila/3003324844/ “Departments don’t have guidelines or norms for personal back-up and researcher procedure, knowledge and diligence varies tremendously. Many have experienced moderate to catastrophic data loss” Incremental Project Report, June 2010

  24. Data storage... • Scaleable • Cost-effective (rent on-demand) • Secure (privacy and IPR) • Robust and resilient • Low entry barrier / ease-of-use • Has data-handling / transfer / analysis capability • Cloud services? The case for cloud computing in genome informatics. Lincoln D Stein, May 2010

  25. Your data in the cloud

  26. Incentivising data management

  27. Sustainability: Who owns? Who benefits? Who selects? Who preserves? Who pays?

  28. KRDS

  29. Thank you… Chicago Mart Plaza, 6-8 December 2010

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