Data for a civil society: how we can harmonise privacy and use population data for public good
dc.contributor.author | Stanley, Fiona | |
dc.date.accessioned | 2009-06-30T15:17:17Z | |
dc.date.available | 2009-06-30T15:17:17Z | |
dc.date.issued | 2007-06-15 | |
dc.description.abstract | 1. Modernity’s paradox - an uncivil society 2. Population data and record linkage 3. Understanding bias 4. Harmonising individual privacy and public good | en_US |
dc.description.sponsorship | Indiana University Center for Bioethics | en_US |
dc.identifier.citation | Stanley F. Data for a civil society: how we can harmonise privacy and use population data for public good. Predictive Health Ethics Research (PredictER), Indiana University Center for Bioethics, Indianapolis, Indiana. June 15, 2007. | en_US |
dc.identifier.uri | https://hdl.handle.net/1805/1914 | |
dc.language.iso | en | en_US |
dc.subject | Indiana University School of Medicine | en_US |
dc.subject | Australia | en_US |
dc.subject | Research ethics | en_US |
dc.subject | Pediatrics | en_US |
dc.subject | Pediatric research | en_US |
dc.subject | Population research | en_US |
dc.subject | Genetics | en_US |
dc.subject | Genetic databases | en_US |
dc.subject | Longitudinal research | en_US |
dc.subject | Population data | en_US |
dc.subject.lcsh | Ethics | |
dc.subject.lcsh | Bioethics | |
dc.subject.nrcbl | Ethics | |
dc.title | Data for a civil society: how we can harmonise privacy and use population data for public good | en_US |
dc.type | Presentation | en_US |