Laboratory Information Management System (LIMS).
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The U.S. Geological Survey is conducting a market survey to identify interested and capable firms for a potential contract to provide a Laboratory Information Management System (LIMS) for the Kansas Water Science Center. This request for information (RFI) targets businesses eligible under NAICS codes 541511 and 511210, with particular interest in several categories of small businesses including SBA-certified HUBZone, 8(a) program participants, service-disabled veteran-owned, women-owned, and other small businesses, though large businesses may also respond. The purpose is to assess the market's capability and interest before issuing a formal solicitation. Submission of information is voluntary, and the Government is not obligated to proceed with a solicitation or contract. Firms responding must detail their socioeconomic status to aid the Government's acquisition planning, and if insufficient responses come from the targeted small business categories, the competition may be opened without restrictions. The LIMS sought must manage the reception, tracking, processing, quality control, data storage, and reporting of water sample analyses. Key system features include logging samples and supporting documents (5,000-10,000 per year) with barcode tracking, managing sample lifecycle events and workload assignments for approximately 15 employees, importing and analyzing instrument data from various analytical software, scheduling instrument maintenance for multiple mass spectrometers, and housing laboratory SOPs. Data migration from an existing Access database to the new system, fast data entry interfaces, customizable reporting, and integration of quality control and approval processes are also critical. Proposals should include user training, warranty, and maintenance provisions with responsive customer support. This announcement is strictly an information-gathering step, and any future solicitation will require firms to be registered in SAM with appropriate business classifications and DUNS numbers.
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