About: Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.0)

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.0) Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.0)
Creator	Williams, Brian Davis, John Bavadekar, Shailesh Desfontaines, Damien Fabrikant, Alex Gabrilovich, Evgeniy Gadepalli, Krishna Gipson, Bryant Kamath, Chaitanya Oplinger, Andrew Pluntke, Christopher Schlosberg, Arran Shekel, Tomer Vispute, Swapnil Wellenius, Gregory Wilson, Royce Aktay, Ahmet Cossoul, Gwen Guevara, Miguel Kansal, Mansi Lange, Ali Mandayam, Chinmoy Roessler, Thomas Vu, Mia
Source	ArXiv
abstract	This document describes the aggregation and anonymization process applied to the initial version of Google COVID-19 Community Mobility Reports (published at http://google.com/covid19/mobility on April 2, 2020), a publicly available resource intended to help public health authorities understand what has changed in response to work-from-home, shelter-in-place, and other recommended policies aimed at flattening the curve of the COVID-19 pandemic. Our anonymization process is designed to ensure that no personal data, including an individual's location, movement, or contacts, can be derived from the resulting metrics. The high-level description of the procedure is as follows: we first generate a set of anonymized metrics from the data of Google users who opted in to Location History. Then, we compute percentage changes of these metrics from a baseline based on the historical part of the anonymized metrics. We then discard a subset which does not meet our bar for statistical reliability, and release the rest publicly in a format that compares the result to the private baseline.
has issue date	2020-04-08(xsd:dateTime)
has license	arxiv
sha1sum (hex)	858fc3babc8436bf2936968b37b7a8ea3049c6f1
resource representing a document's title	Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.0)
resource representing a document's body	covid:858fc3babc8436bf2936968b37b7a8ea3049c6f1#body_text
is schema:about of	named entity 'version' named entity 'curve' named entity 'Mobility' named entity 'Description' named entity 'DATA' named entity 'SHELTER' named entity 'PUBLIC HEALTH' named entity 'DERIVED' named entity 'PERSONAL' named entity 'CONTACTS' named entity 'describes' named entity 'process' named entity 'aggregation' named entity 'April' named entity 'location' named entity 'initial' named entity 'COVID-19' named entity 'COVID-19 pandemic' named entity 'differential privacy' named entity 'Noise parameters' named entity 'real number' named entity 'differentially private' named entity 'Algorithm' named entity 'confidence intervals' named entity 'confidence intervals' named entity 'Laplace distribution' named entity 'pharmacies' named entity 'COVID-19' named entity 'randomly select' named entity 'differential privacy' named entity 'differential privacy' named entity 'randomized algorithm' named entity 'Italy' named entity 'differentially private' named entity 'differential privacy' named entity 'anonymized data' named entity 'Differential Privacy' named entity 'anonymization process' named entity 'differential privacy' named entity 'confidence intervals' named entity 'probability' named entity 'Google Maps' named entity 'differentially private' named entity 'union bound' named entity 'Google' named entity 'COVID-19' named entity 'differential privacy' named entity 'open-source' named entity 'differential privacy' named entity 'differentially private' named entity 'anonymized data' named entity 'differentially private' named entity 'flattening the curve' named entity 'differentially private' named entity 'pharmacies' named entity 'computing' named entity 'anonymized data' named entity 'standard deviation' named entity 'differential privacy' named entity 'open-source' named entity 'personal data' named entity 'Public health' named entity 'Vatican City' named entity 'differentially private'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software