Presentation given at the CNI Meeting, Baltimore in April 2010.

1. UKOLN is supported by: Codes, Clouds & Constellations: Open Science in the Data Decade Dr Liz Lyon, Director, UKOLN, University of Bath, UK Associate Director, UK Digital Curation Centre CNI Meeting, Baltimore, April 2010 . This work is licensed under a Creative Commons Licence Attribution-ShareAlike 2.0

3. Scaling to Share Human Genome printed http://www.flickr.com/photos/johnjobby/2252981353/sizes/l/

4. From the Laboratory bench....

5. … to a national crystallography service....

6. ....to Diamond Light Source

8. Diamond Light Source National Crystallography Service (NCS) Local Earth Sciences Lab University of Cambridge Function International service -multiple communities UK service - multiple institutions. Also uses Diamond Lone researcher at institution - uses NCS and ISIS large-scale facility Administration Peer-reviewed proposal required Paper-based records –experiments, safety ERA, instrument time Multiple proposals, multiple forms Metadata Core Scientific MetaData Model eBank/eCrystals schema ? Identifiers Beam-line number DOI InChI ? Workflow Formulaic and bespoke Formulaic, unrecorded Complex, unrecorded Software In-house scripts In-house scripts + open-source suite In-house scripts + open-source suite Raw data In-house GDA store ATLAS data-store Laptop / local server Derived data Taken offsite on laptop / USB stick eCrystals repository Laptop / local server / USB stick

10. Technology race to market $1000 genome in <15 minutes ....by 2013?

12. ...data clouds in the media

13. Clients in the cloud

15. Post-genome decade Human genomes: >24 published & almost 200 unpublished

18. They have shared their data….

19. Heather Piwowar … but many researchers don’t share… … and are reluctant to re-use data…

20. Publication and Attribution http://www.flickr.com/photos/digitalfemme57/3271063366 /

21. Calls for action, new metrics

24. Pathways to Participation http://www.flickr.com/photos/lemontwist/502860137/sizes/o/

25. Continuum of Openness Open access Closed Access Participation Lone scholar Professional, experts Volunteers interested amateurs Citizen science “ dark data” Creative Commons Attribution-Non-Commercial-Share Alike 2.0

26. Data Informatics: Logistics dilemma Professional scientist Citizens Capability Capacity Data scientists , LIS Peer production Volunteers, interested amateurs Community curation Creative Commons Attribution-Non-Commercial-Share Alike 2.0 Professional scientist Observations Audit Preservation Ontologies Metadata schema Annotation Data management plans Selection & Appraisal Data cleansing Training Visualisation

28. Peer Production

30. Using gaming to drive curation

31. Professional Scientists Enthusiastic amateurs Training Citizen scientist Standards and ethics Local : natural history, environ. Peer-review Global : astronomy Organisational support Self-supporting

32. Citizen science...

33. Privacy issues? … “ participatory urbanism”?

34. “ You have zero privacy anyway. Get over it” Scott McNealy, CEO Sun Microsystems, 1999

36. Working with science professionals ...cultural challenges for faculty?

37. Institutions and Informatics University of Edinburgh Informatics Forum http://www.flickr.com/photos/chris_malcolm/2638210422/sizes/l/

38. Open Science at Web-Scale Report 2009

39. Institutional response : High Throughput Biology

41. New data support structures

42. Facilitating team science - Future Chips - Biocomputation & Bioinformatics - Tetherless World - Integrative Systems Biology - Graphic designers? - Animators? - Social scientists? - Legal experts?

45. Embedding data informatics education ...for faculty & LIS...

47. Slides will be available at : http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/presentations.html http://www.dcc.ac.uk/