EPSCoR Data Outcomes Collection System (EDOCS)

Past New Requirement Updated

Agency
Solicitation expected
Estimated value
$2,000,000 to $4,900,000
Set-aside
Competitive 8(a)

Forecast facts

Anticipated award
NAICS code
541511 Custom Computer Programming Services
Place of performance
N/A, VA
Forecast number
41844
Points of contact

Forecast details come from the GSA Acquisition Gateway. Agencies' dates and values are estimates.

About this forecast

The National Science Foundation seeks a contractor to develop and maintain the EPSCoR Data Outcomes Collection System (EDOCS), a customized software solution designed to standardize data collection across all EPSCoR Research Infrastructure Improvement (RII) Tracks. The system must facilitate comprehensive collection of diverse outcome indicators including participant demographics, career progression metrics, institutional and individual collaborations, funding information, publications, patents, presentations, fellowships, and other key performance metrics at both project and programmatic levels. The solicitation is estimated to release on August 31, 2026, with an estimated award date of June 30, 2026.

This is a competitive 8(a) set-aside acquisition with an estimated contract value between $2,000,000 and $4,900,000, structured as a Time and Materials/Labor Hours definitive contract. The work will be performed in Virginia, USA, and the procurement falls under NAICS 541511 (Custom Computer Programming Services). Interested parties should contact Elizabeth Lawrence, Operations Business Analyst at the National Science Foundation, at elawrenc@nsf.gov for additional information regarding this acquisition planning initiative.

Forecast text

EDOCS is a customized system that standardizes data collection across and within all of the EPSCoR Research Infrastructure Improvement (RII) Tracks. Given the depth and breadth of the program, it is important for EPSCoR to ensure progress at the project and programmatic levels. To do this, it uses EDOCS to collect a variety of different data: participant demographics and career indicators, institutional and individual collaborations, funding, publications, patents, presentations, fellowships, and several other key outcome indicators.

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