Draft SOW- Labor Market Data Licenses.pdf

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Labor Market Data for National Science Foundation (NSF) Technology Innovation and Partnerships (TIP) Directorate
Solicitation number
49100424K0026
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This document is a Draft Statement of Work (SOW) for a federal contract opportunity to provide labor market data to support the National Science Foundation (NSF) Technology Innovation and Partnerships (TIP) Directorate. The SOW outlines the scope, timelines, deliverables, and requirements for the labor market data project.

The key requirements include providing job posting and career profile data for at least the past 10 years, with features such as deduplication, comprehensive taxonomies, and frequent updates. The vendor must provide data access through a web platform interface and an API/cloud service for bulk data downloads. The vendor should also provide relevant government data sources to enable analysis of the broader U.S. labor market and socioeconomic conditions. The deliverables include a developer license package for 5 users and bulk posting and profile data. The period of performance is a 1-year base period. This SOW is related to a pre-solicitation opportunity from the NSF Division of Acquisition and Cooperative Support.

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Draft Statement of Work

Labor Market Data for National Science Foundation (NSF) Technology Innovation and Partnerships (TIP) Directorate

Purpose:

This Statement of Work (SOW) outlines the scope, timelines, deliverables, and overall requirements for the Labor Market Data project. The project aims to support the evaluation of TIP programs such as NSF Regional Innovation Engines (NSF Engines) and Experiential Learning for Emerging and Novel Technologies (ExLENT) as well as the development of dashboards for the TIP Value Creation Framework. These efforts require access to comprehensive labor market data about jobs, skills, career pathways. Data will be used to support both TIP as well as program level assessments and understanding of region-specific industries and markets, growth and wage trajectories, skills transferability, career pathways, and more.

Scope:

Provide data for job posting and profiles data to support TIP program evaluations, derivative research, and align work.

Period of Performance: 1 year Base (12 months)

Vendor Requirements:

The data product should be carefully curated by the vendor to facilitate data analysis. For instance, job posting and career profile data should be deduplicated to the extent possible, and the vendor should provide additional value add by comprehensive tagging of skills, occupations, industries, and other relevant labor force taxonomies. The vendor should be updating their data on a frequent and regular basis, ideally daily, to ensure accuracy.

The vendor should provide data access via (1) a GUI web platform interface where NSF staff and personnel are able to easily query the data and have access to data visualization tools, including charts, graphs, and dashboards; and (2) an API/other cloud service platform enabling bulk data download on an as needed basis.

The vendor should have and be able to provide detailed documentation on data schema, API usage, and platform functionalities. In addition, the vendor should provide technical support for data access and troubleshooting.

The vendor should have a proven track record in providing labor force market data to Federal agencies for research and analytics as well as reporting purposes.

Data Requirements:

The vendor shall provide historical and current labor force market data of U.S. States and territories spanning at least 10 years from current date (i.e., minimally, data since 2014) that includes, but is not limited to, the following components:

Job postings: job postings data should be gathered across multiple web sources including job aggregators such as Indeed and Monster.

• Location: detailed geographic information including state, city, and ZIP code

• Job responsibilities: description of duties and tasks associated with the job

• Wages: salary information, including hourly and annual wages

• Job titles: standardized industry-specific job titles

• Hard and soft skills: required and preferred skills for the job

• Education requirements: required educational qualifications

• Experience requirements: required and preferred years of experience

Career profiles

Individual level profile data containing information about individuals’ career paths over time, as well as development of skills over time and how these translate into jobs and career pathways.

Broad socioeconomic data

The vendor should provide relevant government data to enable understanding big-picture details on the United States labor market and socioeconomic conditions of the country. The vendor should provide a way to enable users to query, visualize, and understand the combined data from government sources. Government data should minimally include those listed in the following table:

U.S. Department (Agency or Office) Data Source U.S. Department of Commerce (Bureau of Economic Analysis)

GDP by State State Personal Income and Employment

U.S. Department of Commerce (U.S. Census Bureau)

American Community Survey County Business Patterns Zip Code Business Patterns Quarterly Workforce Indicators Current Population Survey Commodity Flow Survey

U.S. Department of Labor (Bureau of Labor Statistics)

Quarterly Census of Employment and Wages Current Employment Statistics Local Area Unemployment Statistics

U.S. Department of Education (National Center for Education Statistics)

Integrated Postsecondary Education Data System

U.S. Department of Human and Health Services (National Center for Health Statistics)

Health, United States

U.S. Postal Service Address Information Systems Products

Deliverables:

1. Developer License Package for 5 users

2. Bulk Posting and Profiles Data

Assumptions and Constraints:

• It is assumed that NSF personnel will be permitted to use limited extracts for reports (including figures) in presentations, papers, webinars, dashboards, etc. provided any such use bears vendor’s copyright and/or agreed markings. Vendor submissions should specify any proposed limitations and/or processes related to such use.

• NSF reserves the right to pull and download the bulk data on an as-needed basis.

• The Developer licenses should be transferable and interchangeable among NSF personnel to accommodate for staff turnover and ensure continuous operational capabilities in case of employee departures or new hire.

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