CRS - Data Analysis Model Development 2025
ID: 030ADV25R0130Type: Combined Synopsis/Solicitation
Overview

Buyer

LIBRARY OF CONGRESSLIBRARY OF CONGRESSCONTRACTS SERVICESWashington, DC, 20540, USA

NAICS

Custom Computer Programming Services (541511)

PSC

IT AND TELECOM - BUSINESS APPLICATION/APPLICATION DEVELOPMENT SUPPORT SERVICES (LABOR) (DA01)

Original Source

https://sam.gov/opp/a2e4d6fe765a4efd8befe40e708a6f27/view
Timeline
    Description

    The Library of Congress is seeking proposals for the development of a data analysis model as part of its Congressional Research Service (CRS) initiative, aimed at enhancing data analytics capabilities through advanced methodologies such as artificial intelligence and machine learning. The contractor will be responsible for creating scalable data analysis tools, providing training workshops for CRS personnel, and ensuring compliance with strict data security and quality control standards. This procurement is crucial for supporting Congress's data-driven decision-making processes, reflecting the government's commitment to effective legislative support. Interested vendors should note that the contract has a budget not exceeding $2 million, with a performance period from September 16, 2025, to September 15, 2026. For further inquiries, contact Loren Fekete at LFekete@loc.gov or call 202-961-5312.

    Point(s) of Contact
    Loren Fekete
    (202) 961-5312
    LFekete@loc.gov
    Files
    Title
    Posted
    030ADV25R0130 Final.pdf
    The document outlines a Request for Proposal (RFP) from the Library of Congress for enhancing the Congressional Research Service's (CRS) data analytics capabilities. The initiative aims to integrate advanced data science methods, including artificial intelligence and machine learning, to support objective analysis for Congressional needs. The contractor is expected to develop scalable data analysis tools and provide training workshops for CRS personnel, facilitating efficient responses to legislative queries. Key objectives include modernizing data tools while maintaining high standards of nonpartisanship and confidentiality, training staff on new methodologies, and providing resources for quantitative analysis. The contract includes a 12-month performance timeframe, with options for additional services such as quarterly seminars and updates on data advancements. The contractor must adhere to strict guidelines regarding data security and quality control, ensuring all outputs remain factual and unbiased. Key personnel must possess relevant qualifications and a background in data science and software development. Overall, the RFP emphasizes the importance of enhancing CRS's analytical capabilities to facilitate Congress's data-driven decision-making processes, reflecting the federal government's commitment to effective legislative support.
    030ADV25R0130 Questions and Answers Final.pdf
    The document addresses the Request for Proposal (RFP) for a new contract related to the Library of Congress, focusing on enhancements of existing data models and associated services. The key points include the contract's relation to a previous contract with DSQUORUM LLC, budgeting constraints (not exceeding $2 million), and specific expectations for project deliverables, including training and support. Clarification is provided on citizenship requirements for personnel, compliance with cybersecurity standards, and integration with existing cloud environments (AWS). The period of performance is set from 9/16/2025 to 9/15/2026, and past performance records are not mandatory. The document indicates that while there is flexibility in certain aspects of the proposal, the government favors enhancements such as automation and advanced analytics. Training sessions can be conducted in a hybrid format, and the contractor must adapt to the Library's security policies and cloud framework requirements. The document outlines detailed considerations for project management, data governance, and the integration of new technologies. Ultimately, it sets the stage for a structured approach to awarding the contract based on demonstrated value and compliance with established standards.
    Lifecycle
    Title
    Type
    CRS - Data Analysis Model Development 2025
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    Combined Synopsis/Solicitation
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