Adding value to researchers' data
- 1. Adding Value to Researchers’ Data Dr Andrew Treloar, Director of Technology 1 CC-‐BY @atreloar
- 2. Outline § Research is changing § We are all in the data business § ANDS characterisEcs § Adding value to researchers’ data CC-‐BY @atreloar 2
- 3. July 29, 2014 CC-‐BY-‐SA, @hvdsomp and @atreloar 3 So many research lifecycles…
- 4. Minimal Research Lifecycle Share Think Do July 29, 2014 CC-‐BY-‐SA, @atreloar 4 01000001 01101110 01100100 01110010 01100101 01110111
- 6. LHC output from 2009-2013 = 100PB (www.symmetrymagazine.org/article/february-2013/ achievement-unlocked-100-petabytes-of-data) @atreloar
- 7. Long-‐tail data CC-‐BY @atreloar 7 Size Number
- 8. Lee Berger and Australopithecus sediba 8 Lee Berger Google Talk: The Skull in the Rock
- 9. CC-‐BY @atreloar 9
- 10. What business are we in? Theodore LeviR, The Changing Character of Capitalism, Harvard Business Review, July–August 1956 “The railroads did not stop growing because the need for passenger and freight transportaEon declined. That grew. The railroads are in trouble today not because that need was filled by others (cars, trucks, airplanes, and even telephones) but because it was not filled by the railroads themselves. They let others take customers away from them because they assumed themselves to be in the railroad business rather than in the transporta6on business.” CC-‐BY @atreloar 10
- 11. Photo CC-BY www.flickr.com/photos/jerryjohn/63351338/ CC-‐BY @atreloar 11
- 12. Photo CC-BY www.flickr.com/photos/stiefkind/6454784607/ CC-‐BY @atreloar 12
- 13. Photo CC-BY www.flickr.com/photos/torkildr/3462607995/ CC-‐BY @atreloar 13
- 15. Key differenEators for ANDS § NaEonally co-‐ordinated approach § InsEtuEonally-‐focussed engagement § “helping them meet their research data ambiEons” § Engaging with large naEonally-‐funded discipline investments § Bulk of funds spent outside ANDS § All disciplines covered § Focus on adding value to data and re-‐use 15 ands.org.au
- 16. ANDS enables the transformaEon of: Data that are: " Unmanaged " Disconnected " Invisible " Single use To Structured CollecEons that are: " Managed " Connected " Findable " Reusable so that Australian researchers can easily publish, discover, access and use/re-‐use research data. CC-‐BY @atreloar 16
- 17. CC-‐BY @atreloar 17
- 18. CC-‐BY @atreloar 18
- 19. CC-‐BY @atreloar 19
- 20. CC-‐BY @atreloar 20
- 21. CC-‐BY @atreloar 21
- 22. CC-‐BY @atreloar 22
- 23. CC-‐BY @atreloar 23
- 24. QuesEons? § ands.org.au § andrew.treloar@ands.org.au § @atreloar 24 CC-‐BY @atreloar
- 25. ANDS online services § Research Data Australia § Cite my Data DOI IdenEfier service § Vocab creaEon/management service + API § Research AcEvity idenEfier service + API § Developer toolbox ands.org.au 25
- 26. Value of data is increased because § It is beRer managed § It is more findable § It is citeable § It is (potenEally) more re-‐usable § InternaEonal data environments are more compaEble with those in Australia CC-‐BY @atreloar 26
- 27. Major programs undertaken (200+ projects) § Seeding the Commons (fixing the past) § Data Capture (fixing the future) § Metadata Stores (managing insEtuEonal research data assets) § ApplicaEons (demonstraEng value of joining data) § Major Open Data CollecEons (content focus) § eResearch Infrastructure ConnecEvity (connecEon focus) CC-‐BY @atreloar 27