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Please indicate the most important or prominent ways you use integration of additional information or alternate data sources in your organisation

Please indicate the most important or prominent ways you use integration of additional information or alternate data sources in your organisation

[count]

4
As a source for sample frames 21
To provide geospatial products 13
For customised data services 10
To create statistical products in partnership with other organisations 10
To meet the requirements of measuring the Sustainable Development Goals (SDGs) 11
Other 2
To supplement surveys (e.g. for a part of population, for a set of variables) 22
To supplement traditional censuses (e.g. register based population census, agricultural census) 14
For replacing sample surveys 12
For replacing traditional censuses (e.g. register based population censuses, agricultural census) 9
For maintaining registers 19
For data validation 23
For data editing and/or imputation 19
For estimation (e.g. small area estimation) 15

Other reasons

Organisation

If other, please describe and/or provide links

Statistics Canada Statistics Canada has used traditional admin data sources and record linkages throughout its 100-year history. Current investigations include increasing the use of Internet data, data from social media, and big commercial data sources such as scanner data or transaction data. Research for an admin census backbone includes acquiring and testing large insurance or registration databases from all jurisdictions in Canada (e.g., health card, motor vehicle registrations, driver s licence) among do

Please indicate the types of data being integrated with other data for the production of statistics in your organisation

Source Classification of types of big data (https://statswiki.unece.org/display/bigdata/Classification+of+Types+of+Big+Data) plus additional items

Please indicate the types of data being integrated with other data for the production of statistics in your organisation

[count]

4
Survey data 26
E-commerce (2230) E-Mail (1900) 4
Internet searches (1600) 7
Logs (3110) 3
Medical records (2110) 4
Mobile phone location (3121) 2
Mobile phone: call/text times and positions (312.) 1
Personal documents (1300) 2
Census data 23
Satellite images (3123) 8
Scientific sensors (3114) 1
Smart Energy Meters (311?)/Smart gas meters 2
Social Networks: Facebook, Twitter, Tumblr etc. (1100) 2
Traffic sensors/webcam (3113) 4
Automatic identification systems 5
Banking/stock records (2220) 4
Blogs and comments (1200) 1
Car/vehicle location (3122) 2
Commercial transactions (2210) 10
Credit cards (2240) 6
Data from public administration (2100) 19

Other types

Organisation

If other, please describe and/or provide links

Statistics Canada Please note that many of these types of data are still in research and experimental mode

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