Questions answered fifth time - Data Quality Contract - supersedes old Notice ID: 123A9422Q0044
Closed Solicitation Posted
- Solicitation number
- 123A9422Q0054
- Agency
-
Food Safety and Inspection Service
Department of Agriculture
- Responses due
- Set-aside
- No set-aside
Opportunity facts
- NAICS code
- 541512 Computer Systems Design Services
- PSC
- B544 Special Studies/Analysis- Technology
Notice details come from SAM.gov. Updated .
About this opportunity
The Food Safety and Inspection Service is soliciting proposals to provide data quality assistance through its Data Quality contract. The selected contractor will identify and help resolve data quality issues in FSIS systems by utilizing test data, evaluating data tables, developing SQL code, and recommending solutions. The work requires proficiency in Python, R, and SQL. Proposals are due by September 28, 2022 and will be evaluated based on technical qualifications, past performance, and price.
There is no set-aside for this requirement. The NAICS code is 541511 and PSC code D306. The single-award IDIQ contract has a one-year base period and four one-year options, with one full-time data analyst to perform the work remotely but using a government-provided workstation. Weekly status reports and monthly data quality findings/recommendations are required deliverables. Questions were accepted until September 26th, with answers provided to clarify personnel requirements, the scope of each contract line item, and resume contents.
Notice text
This is a new solicitation for the FSIS Data Quality Contract, the old Notice ID: 123A9422Q0044 is hereby cancelled. Please see the revised and updated requirement for this effort.
All documents in this solicitation supersede the previous notice ID.
The Data Quality contract will provide assistance to the Office of Planning, Analysis, and Risk Management (OPARM) in addressing data quality issues found in Food Safety Inspection Service (FSIS) data systems and making recommendations to decrease data quality issues in the future. This includes utilizing test data systems, evaluating data tables for data quality issues, and developing SQL code to resolve data quality issues. Python, R, and SQL are the main tools used to complete this work, in addition to Microsoft Suite tools.
Please read the attached Request for Quotation (RFQ), including the Statement of Work (SOW), clauses, and evaluation criteria for further details and instructions.
Submit all quotations, including pricing, and a signed copy of the SF 1449 via email by Wednesday, September 28, 2022, 12:00pm (noon) EST to thomas.nasvytis@usda.gov.
Files
| File | Type | Posted |
|---|---|---|
| Vendor questions with answers.docx | DOCX document | |
| RULES OF BEHAVIOR FOR PRIVILEGED USERS.docx | DOCX document | |
| Vendor questions with answers.docx | DOCX document | |
| Vendor questions with answers.docx | DOCX document | |
| Vendor questions with answers.docx | DOCX document | |
| Vendor questions with answers.docx | DOCX document | |
| Solicitation 123A9422Q0054.pdf |
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