Public tender

Princeton Plasma Physics Laboratory Seeks Oracle Fusion Data Upload Solutions

Princeton Plasma Physics Laboratory (PPPL), a national laboratory within the Department of Energy, is hereby soliciting information from potential sources regarding mass upload tools for Oracle Fusion. The objective is to identify a more efficient and user-friendly solution for uploading large volumes of data from Exce…

Source ID: f86e1004510046bcb04be3066aaa6ec4

Scope overview

Princeton Plasma Physics Laboratory (PPPL), a national laboratory within the Department of Energy, is hereby soliciting information from potential sources regarding mass upload tools for Oracle Fusion. The objective is to identify a more efficient and user-friendly solution for uploading large volumes of data from Excel into Oracle Fusion.

Currently, the Excel-based upload tools provided by Oracle are cumbersome and often require multiple Excel files to upload a single object, resulting in increased effort and complexity. PPPL is seeking capability statements from all interested parties that possess the technical capabilities.

Statusopen
CategoryEnergy & Utilities
CountryUnited States
Publish dateDec 17, 2025
Submission deadlineJan 15, 2026
Estimated value
Notice typetender_notice
Sourceus-sam-opportunities
BuyerENERGY, DEPARTMENT OF.ENERGY, DEPARTMENT OF.PRINCETON LAB - DOE CONTRACTOR
Buyer websitehttps://sam.gov/
CityPrinceton

Buyer & contacts

Contacts available
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Contact name
Cheryl ColanUnlock export & alerts
Email
ccolan@pppl.govUnlock export & alerts
Phone
6092433486Unlock export & alerts
Organization
ENERGY, DEPARTMENT OF.ENERGY, DEPARTMENT OF.PRINCETON LAB - DOE CONTRACTORUnlock export & alerts

Documents

Documents available
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  • Amendment 1 to RFI 26-017.pdf

    Attachment

    DownloadUnlock OCR
  • RFI-26-017 Oracle Fusion Mass Updates (1)_RV1_12172025.pdf

    Attachment

    DownloadUnlock OCR

Tags & Signals

Oracle Fusiondata upload toolsExcel integrationmass data uploadPrinceton Plasma Physics LaboratoryDOE laboratoryenterprise softwaredata management

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