Moving from small science to big science: Social and organizational impediments to large scale data sharing
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This document discusses the challenges of large-scale data sharing between researchers. It examines two case studies: SPLASH, which studied humpback whale populations using photo identification techniques; and GAIN, which studied genetic associations. Both projects found that researchers had idiosyncratic data management systems and that fully answering key scientific questions required gathering data from new areas, which faced social and organizational barriers. The document advocates for overcoming these impediments to enable large-scale data sharing across research communities.
![Moving from small science to big science Social and organizational impediments to large scale data sharing Eric T. Meyer, PhD Research Fellow Oxford Internet Institute University of Oxford [email_address] Oxford e-Research 08, Sept 11-13, 2008](https://image.slidesharecdn.com/2008meyeroxfordjankowskisessionslides-1221814911199489-9/85/Moving-from-small-science-to-big-science-Social-and-organizational-impediments-to-large-scale-data-sharing-1-320.jpg)
![Data needed to answer key questions for the scientists Jacob Tipton: We knew the success of our project we had done in [location], but also its limitations because it largely funded the contribution and analysis of photographs, but not the dedicated gathering of data. So it very much relied on who was already doing work in certain places. So there were these huge gaps and we knew to really to answer the questions about population size, trends, human impacts, stock structure we had to cover some of these new areas.](https://image.slidesharecdn.com/2008meyeroxfordjankowskisessionslides-1221814911199489-9/85/Moving-from-small-science-to-big-science-Social-and-organizational-impediments-to-large-scale-data-sharing-8-320.jpg)
![Eric T. Meyer, PhD Research Fellow Oxford Internet Institute University of Oxford [email_address] Web: http://people.oii.ox.ac.uk/meyer](https://image.slidesharecdn.com/2008meyeroxfordjankowskisessionslides-1221814911199489-9/85/Moving-from-small-science-to-big-science-Social-and-organizational-impediments-to-large-scale-data-sharing-16-320.jpg)
Moving from small science to big science: Social and organizational impediments to large scale data sharing
- 1. Moving from small science to big science Social and organizational impediments to large scale data sharing Eric T. Meyer, PhD Research Fellow Oxford Internet Institute University of Oxford [email_address] Oxford e-Research 08, Sept 11-13, 2008
- 2. Two cases SPLASH: Structure of Populations, Levels of Abundance, and Status of Humpbacks GAIN: Genetic Association Information Network Meyer, E.T. (2009). Moving from small science to big science: Social and organizational impediments to large scale data sharing. In Jankowski, N. (Ed.), E-Research: Transformation in Scholarly Practice (Routledge Advances in Research Methods series). New York: Routledge.
- 5. Matching techniques on screen
- 6. Matching techniques on paper
- 8. Data needed to answer key questions for the scientists Jacob Tipton: We knew the success of our project we had done in [location], but also its limitations because it largely funded the contribution and analysis of photographs, but not the dedicated gathering of data. So it very much relied on who was already doing work in certain places. So there were these huge gaps and we knew to really to answer the questions about population size, trends, human impacts, stock structure we had to cover some of these new areas.
- 9. GAIN: Genetic Association Information Network
- 10. DIGS Interview
- 11. Various types of social science data
- 13. 34 46 58 51 39 57 Data reqs
- 16. Eric T. Meyer, PhD Research Fellow Oxford Internet Institute University of Oxford [email_address] Web: http://people.oii.ox.ac.uk/meyer