Catálogo de publicaciones - libros
Privacy in Statistical Databases: CENEX-SDC Project International Conference, PSD 2006, Rome, Italy, December 13-15, 2006, Proceedings
Josep Domingo-Ferrer ; Luisa Franconi (eds.)
En conferencia: International Conference on Privacy in Statistical Databases (PSD) . Rome, Italy . December 13, 2006 - December 15, 2006
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
Data Encryption; Database Management; Probability and Statistics in Computer Science; Computers and Society; Legal Aspects of Computing; Artificial Intelligence (incl. Robotics)
Disponibilidad
| Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No detectada | 2006 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-3-540-49330-3
ISBN electrónico
978-3-540-49332-7
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2006
Información sobre derechos de publicación
© Springer-Verlag Berlin Heidelberg 2006
Tabla de contenidos
doi: 10.1007/11930242_31
IPUMS-International High Precision Population Census Microdata Samples: Balancing the Privacy-Quality Tradeoff by Means of Restricted Access Extracts
Robert McCaa; Steven Ruggles; Michael Davern; Tami Swenson; Krishna Mohan Palipudi
A breakthrough in the tradeoff between privacy and data quality has been achieved for restricted access to population census microdata samples. The IPUMS-International website, as of June 2006, offers integrated microdata for 47 censuses, totaling more than 140 million person records, with 13 countries represented. Over the next four years, the global collaboratory led by the Minnesota Population Center, with major funding by the United States National Science Foundation and the National Institutes of Health, will disseminate samples for more than 100 additional censuses. The statistical authorities of more than 50 countries have already entrusted microdata to the project under a uniform memorandum of understanding which permits researchers to obtain custom extracts without charge and to analyze the microdata using their own hardware and software. This paper describes the disclosure control methods used by the IPUMS initiative to protect privacy and to provide access to high precision census microdata samples.
- Software | Pp. 375-382