Unique ID: 2015112
| Division: | Office of Information and Regulatory Affairs |
|---|---|
| Issue Date: | February 13th 2019 |
| Last modified: | February 22nd 2019 |
Cost: FREE
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
Project Sources
| Type Of Institution: | National statistical office |
|---|---|
| Big Data Source: | Other |
| Region: | North America |
| Country Area: | United States |
| Id Country Regional: | country |
Partnerships
| Other Partners: | Other |
|---|---|
| Partnership Comments: | Respondent provided transaction level 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: | 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
| Frequency Comments: | Based on sample frame. |
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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
| Methods Used: | Traditional statistical methods |
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Technologies
| Technologies: | Relational database, Spreadsheet, Other |
|---|---|
| Technologies Comments: | SAS |
Other
| Income Level: | High-income |
|---|---|
| Iso: | US |
| Timeframe To Produce Indicator: | NA |
| Frequency Comments: | Based on sample frame. |
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