Population Data Centre Profiles: Centre for Data Linkage
| Autor: | Adrian Brown, Max Maller, Margo Gillies, Sean M. Randall, Davie Botes, James Boyd, Anna Ferrante |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Information Systems and Management
020205 medical informatics Process (engineering) Computer science Health Informatics 02 engineering and technology Linkage (mechanical) law.invention 03 medical and health sciences 0302 clinical medicine Software law 0202 electrical engineering electronic engineering information engineering 030212 general & internal medicine Data Linkage Demography Population Data Science Data custodian Operating model business.industry Data science lcsh:HB848-3697 Population data lcsh:Demography. Population. Vital events business Record linkage Information Systems |
| Zdroj: | International Journal of Population Data Science International Journal of Population Data Science, Vol 4, Iss 2 (2020) |
| ISSN: | 2399-4908 |
| Popis: | The Centre for Data Linkage (CDL) was established at Curtin University, Western Australia, to develop infrastructure to enable cross-jurisdictional record linkage in Australia. The CDL’s operating model makes use of the ‘separation principle’, with content data typically provided to researchers directly by the data custodian; jurisdictional linkage where available are used within the linkage process. Along with conducting record linkage, the team has also invested in establishing a research programme in record linkage methodology and in developing modern record linkage software which can handle the size and complexity of today’s workloads. The Centre has been instrumental in the development of practical methods for privacy-preserving record linkage, with this methodology now regularly used for real-world linkages. While the promise of a nation-wide linkage system in Australia has yet to be met, distributed models provide a potential solution. |
| Databáze: | OpenAIRE |
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