IT3779F - RFT to Establish a Single-Supplier Framework Agreement for the Provision of a Plagiarism Detection Software for Atlantic Technological University (ATU)
A single-party framework agreement will be established on foot of this tender. Atlantic Technological University (ATU) are requesting submissions for the provision of a cloud-based SaaS plagiarism detection solution, that is suitable for checking submitted student work for potential plagiarism in a user-friendly way via an LTI/IMA Learning Tools Interoperability integration with the “Virtual Learning Environment”. Academic integrity has always been a priority for ATU and therefore it performs plagiarism checks on all submitted student work, including Bachelor and Master Theses. In addition, other writing assignments within various programmes are checked for plagiarism, whether or not as part of the education relating to academic skills. The solution must be capable of analysing submitted student work against multiple source types, including: • Public internet content • Generative artificial intelligence outputs (text, images, and video) • Academic materials (both open-access and subscription-based) • Previously submitted student work within the University and across other institutions. Plagiarism detection is activated; a scored/ rated text matching report is created for each file submitted by a student. The system must also enable students to access and review their similarity report prior to final submission to learn obvious cases where they are submitting plagiarised text to help them identify when a reference is required/missing. Following student final submission, academic staff must be able to use the generated report as a decision supported tool in assessing whether plagiarism has occurred. The successful tenderer will be required to provide a solution that fulfils the following Core requirements: • Mandatory Functional and Technical Requirements – tenderers should refer to Appendix 1 for detailed requirements • System Security and Governance; • Data Protection; • Licensing; • Project Implementation and Delivery; • Support and Maintenance; and • Contract Management. Virtual Learning Environment (VLE) Integration The proposed solution must provide fully supported, production-ready integration with the following VLE platforms: • Moodle • Blackboard • Canvas • Brightspace • PebblePad The initial contract will require integration with three separate Virtual Learning Sites currently in use by Atlantic Technological University: 1. ATU Sligo – VLE Sligo (Moodle – Version 4.5) 2. ATU Galway – VLE Galway Mayo (Moodle – Version 4.5) 3. ATU Donegal – VLE Donegal (Blackboard) ATU expects to transition to a single VLE on a phased basis in 2026-2027 and the transition to this may form part of this contract.
Contract notice (2026-04-27) Object Scope of the procurement
Title: IT3779F - RFT to Establish a Single-Supplier Framework Agreement for the Provision of a Plagiarism Detection Software for Atlantic Technological University (ATU)
Short description:
“A single-party framework agreement will be established on foot of this tender. Atlantic Technological University (ATU) are requesting submissions for the...”
Short description
A single-party framework agreement will be established on foot of this tender. Atlantic Technological University (ATU) are requesting submissions for the provision of a cloud-based SaaS plagiarism detection solution, that is suitable for checking submitted student work for potential plagiarism in a user-friendly way via an LTI/IMA Learning Tools Interoperability integration with the “Virtual Learning Environment”. Academic integrity has always been a priority for ATU and therefore it performs plagiarism checks on all submitted student work, including Bachelor and Master Theses. In addition, other writing assignments within various programmes are checked for plagiarism, whether or not as part of the education relating to academic skills. The solution must be capable of analysing submitted student work against multiple source types, including: • Public internet content • Generative artificial intelligence outputs (text, images, and video) • Academic materials (both open-access and subscription-based) • Previously submitted student work within the University and across other institutions. Plagiarism detection is activated; a scored/ rated text matching report is created for each file submitted by a student. The system must also enable students to access and review their similarity report prior to final submission to learn obvious cases where they are submitting plagiarised text to help them identify when a reference is required/missing. Following student final submission, academic staff must be able to use the generated report as a decision supported tool in assessing whether plagiarism has occurred. The successful tenderer will be required to provide a solution that fulfils the following Core requirements: • Mandatory Functional and Technical Requirements – tenderers should refer to Appendix 1 for detailed requirements • System Security and Governance; • Data Protection; • Licensing; • Project Implementation and Delivery; • Support and Maintenance; and • Contract Management. Virtual Learning Environment (VLE) Integration The proposed solution must provide fully supported, production-ready integration with the following VLE platforms: • Moodle • Blackboard • Canvas • Brightspace • PebblePad The initial contract will require integration with three separate Virtual Learning Sites currently in use by Atlantic Technological University: 1. ATU Sligo – VLE Sligo (Moodle – Version 4.5) 2. ATU Galway – VLE Galway Mayo (Moodle – Version 4.5) 3. ATU Donegal – VLE Donegal (Blackboard) ATU expects to transition to a single VLE on a phased basis in 2026-2027 and the transition to this may form part of this contract.
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Type of contract: Services
Products/services: Higher education services📦
Estimated value excluding VAT: 300 000 EUR 💰
Description
Description of the procurement:
“A single-party framework agreement will be established on foot of this tender. Atlantic Technological University (ATU) are requesting submissions for the...”
Description of the procurement
A single-party framework agreement will be established on foot of this tender. Atlantic Technological University (ATU) are requesting submissions for the provision of a cloud-based SaaS plagiarism detection solution, that is suitable for checking submitted student work for potential plagiarism in a user-friendly way via an LTI/IMA Learning Tools Interoperability integration with the “Virtual Learning Environment”. Academic integrity has always been a priority for ATU and therefore it performs plagiarism checks on all submitted student work, including Bachelor and Master Theses. In addition, other writing assignments within various programmes are checked for plagiarism, whether or not as part of the education relating to academic skills. The solution must be capable of analysing submitted student work against multiple source types, including: • Public internet content • Generative artificial intelligence outputs (text, images, and video) • Academic materials (both open-access and subscription-based) • Previously submitted student work within the University and across other institutions. Plagiarism detection is activated; a scored/ rated text matching report is created for each file submitted by a student. The system must also enable students to access and review their similarity report prior to final submission to learn obvious cases where they are submitting plagiarised text to help them identify when a reference is required/missing. Following student final submission, academic staff must be able to use the generated report as a decision supported tool in assessing whether plagiarism has occurred. The successful tenderer will be required to provide a solution that fulfils the following Core requirements: • Mandatory Functional and Technical Requirements – tenderers should refer to Appendix 1 for detailed requirements • System Security and Governance; • Data Protection; • Licensing; • Project Implementation and Delivery; • Support and Maintenance; and • Contract Management. Virtual Learning Environment (VLE) Integration The proposed solution must provide fully supported, production-ready integration with the following VLE platforms: • Moodle • Blackboard • Canvas • Brightspace • PebblePad The initial contract will require integration with three separate Virtual Learning Sites currently in use by Atlantic Technological University: 1. ATU Sligo – VLE Sligo (Moodle – Version 4.5) 2. ATU Galway – VLE Galway Mayo (Moodle – Version 4.5) 3. ATU Donegal – VLE Donegal (Blackboard) ATU expects to transition to a single VLE on a phased basis in 2026-2027 and the transition to this may form part of this contract.
Procedure Type of procedure
Open procedure ✅ Administrative information
Time limit for receipt of tenders or requests to participate: 2026-05-29 12:00:00 📅
Conditions for opening of tenders: 2026-05-29 12:30:00 📅
Conditions for opening of tenders (place): https://www.etenders.gov.ie/epps/cft/prepareViewCfTWS.do?resourceId=7999150
Languages in which tenders or requests to participate may be submitted: English 🗣️
Minimum time frame during which the tenderer must maintain the tender: 12
Information about a framework agreement or a dynamic purchasing system
Framework agreement with several operators ✅
Complementary information Review body
Name: The High Court of Ireland
National registration number: The High Court of Ireland
Postal address: Four Courts, Inns Quay, Dublin 7
Postal code: D07 WDX8
Postal town: Dublin
Region: Dublin🏙️
Country: Ireland 🇮🇪
E-mail: highcourtcentraloffice@courts.ie📧
Phone: +353 1 8886000📞 Service from which information about the review procedure may be obtained
Name: The High Court of Ireland
National registration number: The High Court of Ireland
Postal address: Four Courts, Inns Quay, Dublin 7
Postal code: D07 WDX8
Postal town: Dublin
Region: Dublin🏙️
Country: Ireland 🇮🇪
E-mail: highcourtcentraloffice@courts.ie📧
Phone: +353 1 8886000📞 Information about electronic workflows
Electronic invoicing will be accepted
Source: OJS 2026/S 083-293120 (2026-04-27)