Unique ID: 2015112

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

Corporate Data Project

Improving collection of corporate data

Working with BLS respondents to provide corporate data.

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 outcome includes replacement/supplement of current data collection.

Statistical Area

Labor

Project Sources
Project Sources
Type Of Institution: National statistical office
Big Data Source: Other
Region: North America
Country Area: United States
Id Country Regional: country
Partnerships
Partnerships
Other Partners: Other
Partnership Comments: Respondent provided transaction level data.
Accessing Data
Accessing Data
Data Access Rights: Only for this project
Intermediary Comments: Rely on the company/respondent to provide data or permit access to database. Typically the data requires additional manipulation.
Data Coverage
Data Coverage
Data Coverage: Only a portion of all data
Coverage Geo Pop: Part of country / high % of market
Cost Implication: Free
Cost Comments: Although the data are free and there is the potential for reduction in collection costs, these savings are at least partially offset by resource and development costs.
Coverage Geo Comments: Based on sample frame.
Project Details
Project Details
Frequency Comments: Based on sample frame.
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.
Methodology
Methodology
Methods Used: Traditional statistical methods
Technologies
Technologies
Technologies: Relational database, Spreadsheet, Other
Technologies Comments: SAS
Other
Other
Income Level: High-income
Iso: US
Timeframe To Produce Indicator: NA
Frequency Comments: Based on sample frame.
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