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Wild data: collaborative e-research and university libraries

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RAILS7

Paper presented by Mary Anne Kennan, Kirsty Williamson, Graeme Johanson and Shonali Krishnaswamy at RAILS7, 10 May 2011

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Mary Anne Kennan, CSU Kirsty Williamson, CSU & Monash Graeme Johanson, Monash Shonali Krishnaswamy, Monash Wild data: collaborative e-research and university libraries Photo credit: Cathy Powers, President APSV
Data Management ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Wild data? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Pilot project ,[object Object],[object Object],[object Object],[object Object],[object Object]
Research Questions for Pilot ,[object Object],[object Object],[object Object],[object Object],[object Object]
The Australian Plants Society Victoria (APSV) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
APS (Cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Pilot Study Method ,[object Object],[object Object],[object Object],[object Object],[object Object]
Participant Analysis Sample ages closely reflect age profile of ASPV: 88% of membership was aged over 50 in 2007 ( Phil Hempel, 2007 survey of APSV members) Gender Age Length APSV Membership 7 male 8 female 40-49 1 50-59 4 60-69 5 70-79 3 80-89 2 1-5 years 1 6-10 years 3 11-15 years 3 21-25 years 3 30+ years 5
Main Kinds of Data Collected ,[object Object],[object Object],[object Object],[object Object],[object Object]
Main Storage Methods ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Knowledge Dissemination: Major Methods ,[object Object],[object Object],[object Object],[object Object]
Multiple Knowledge Dissemination Approaches ,[object Object],[object Object],[object Object],[object Object]
Data & Knowledge Management Issues ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Willingness to Share vs Desire for Control ,[object Object],[object Object],[object Object]
Local Loyalties, Problems of Replication and Lack of Time ,[object Object]
Need for Accurate Information ,[object Object]
Role for Academic Libraries ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
References ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Acknowledgements ,[object Object],[object Object]
Thank you! Questions?

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Wild data: collaborative e-research and university libraries

  • 1. Mary Anne Kennan, CSU Kirsty Williamson, CSU & Monash Graeme Johanson, Monash Shonali Krishnaswamy, Monash Wild data: collaborative e-research and university libraries Photo credit: Cathy Powers, President APSV
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  • 9. Participant Analysis Sample ages closely reflect age profile of ASPV: 88% of membership was aged over 50 in 2007 ( Phil Hempel, 2007 survey of APSV members) Gender Age Length APSV Membership 7 male 8 female 40-49 1 50-59 4 60-69 5 70-79 3 80-89 2 1-5 years 1 6-10 years 3 11-15 years 3 21-25 years 3 30+ years 5
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