Unique ID: 2015095

Division: Office of Information and Regulatory Affairs
Issue Date: February 13th 2019
Last modified: February 22nd 2019

Secondary Source, purchased data: exploring the purchase of data from secondary sources

Exploring the purchase of data from secondary sources

Purchase data from secondary sources.

Project Objective:

Exploration, Pilot intended to go to production to supplement existing data, Pilot intended to go to production to replace existing data

Project Outcomes:

Potential outcomes include sample comparison, potential replacement/supplement of data collection and identification of sample frames.

Publications Comments:

2013 JSM proceedings: http://www.bls.gov/osmr/pdf/st130070.pdf

Statistical Area

Price, Demographic and social

Project Sources
Project Sources
Type Of Institution: National statistical office
Big Data Source: Scanner data, Other
Region: North America
Country Area: United States
Id Country Regional: country
Data Providers: Intermediary Big Data provider
Other Partners: Other
Partnership Comments: Data vendors.
Accessing Data
Accessing Data
Data Access Rights: Broader access rights
Intermediary Comments: Rely on the vendor to provide data or permit access to database. Typically the data requires additional manipulation.
Data Coverage
Data Coverage
Data Coverage: All available data
Coverage Geo Pop: Part of country / high % of market
Cost Implication: Commercial
Cost Comments: In addition to the cost of the data, there are resource and development costs.
Coverage Geo Comments: Varies by data purchase
Coverage Period: Varies, most significantly from 2010
Data Quality
Data Quality
Quality Framework: Quality of output statistics
Quality Aspects Evaluated: Privacy and Security, Completeness, Usability, Time Factors, Accessibility, Relevance, Validity, Accuracy, including selectivity, Coherence, including linkability to other sources
Validation Comments: Validate using a variety of result comparisons and statistical techniques.
Data Quality Concerns Comments: U.S. Bureau of Labor Statistics assesses the quality of all its data sources.
Methods Used: Traditional statistical methods
Technologies: Spreadsheet
Technologies Comments: SAS
Income Level: High-income
Iso: US
Timeframe To Produce Indicator: NA
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