Date of dispatch of this notice: 21/10/2022
Expire date: 21/11/2022
External Reference: 2022-296089
TED Reference: 2022/S 207-590227
Contract notice
Information
Published
Contract notice
[NoticeContract]
[Directive201424]
[Section1]: [Ca]
I.1)
[NameAddressContact]
Technological University Dublin (TU Dublin)
3574697EH
Park House Grangegorman
Dublin 7
191 North Circular R
IE
[Contactpoint]:
Donna Grogan
[AddressPhone]:
+353 012205255
[AddressEmail]:
donna.grogan@tudublin.ie
[Nutscode]:
IE -
IRELAND
[UrlGeneral]:
http://www.tudublin.com
[UrlBuyerprofile]:
https://irl.eu-supply.com/ctm/Company/CompanyInformation/Index/369
I.3)
[InfoTendering]
[AddressObtainDocs]:
http://irl.eu-supply.com/app/rfq/rwlentrance_s.asp?PID=227144&B=ETENDERS_SIMPLE[AddressFurtherinfo]
[AsContactsAbove]:
[AddressSendTendersRequest]
[AddressSendTenders]:
http://irl.eu-supply.com/app/rfq/rwlentrance_s.asp?PID=227144&B=ETENDERS_SIMPLE
[AddressSendTendersRequest]
[AddressToAbove]
I.4)
[CaType]
[MaintypePublicbody]
I.5)
[Mainactivity]
[MainactivEducation]
[Section2]: [Object]
II.1)
[QuantityScopeContract]
II.1.1)
[TitleContract]
Supply of Academic Integrity Software Detection Solution for TU Dublin
[Fileref]:
NCTR2284
II.1.2)
[CpvMain]
48000000
-
II.1.3)
[TypeContract]
[Supplies]
II.1.4)
[DescrShort]
TU Dublin is seeking an academic integrity software solution. Over the past number of years TU Dublin has been making use of a similarity detection solution. The university is now seeking a software solution which includes similarity detection as well as checks for other possible breaches of academic integrity. The solution provided should compare submitted text-based files with an extensive range of sources including but not limited to public web, subscription-based sources, open-source materials and other students work. In addition, it should be able to assess and compare submissions from the student’s own work to determine source and similarity of phrasing. Students and staff should be able to use the solution to identify similarities, differences, and common elements clearly and quickly between submissions.
II.1.5)
[ValueMagnitudeEstimatedTotal]
[ValueExclVat]: 325000.00
EUR
II.1.6)
[LotsInfo]
[DivisionLots]:
[No]
II.2)
[Description]
II.2.2)
[CpvAdditional]
48170000
-
48190000
-
48200000
-
48210000
-
48219000
-
48220000
-
48221000
-
48300000
-
48310000
-
48311000
-
48318000
-
48900000
-
II.2.3)
[PlacePerformance]
[Nutscode]:
IE -
IRELAND
II.2.4)
[DescrProcurement]
TU Dublin is seeking an academic integrity software solution. Over the past number of years TU Dublin has been making use of a similarity detection solution. The university is now seeking a software solution which includes similarity detection as well as checks for other possible breaches of academic integrity. The solution provided should compare submitted text-based files with an extensive range of sources including but not limited to public web, subscription-based sources, open-source materials and other students work. In addition, it should be able to assess and compare submissions from the student’s own work to determine source and similarity of phrasing. Students and staff should be able to use the solution to identify similarities, differences, and common elements clearly and quickly between submissions.
As part of TU Dublin's overall protection of Academic Integrity, it is seeking proposals for detection systems/IT Solutions which can be used in association with the Universities VLEs and in conjunction with its university policies and procedures. This detection system should also include an ability to collect evidence based on raised suspicions. Evidence such as
• Textual and electronic evidence
• Knowledge of the academic and linguistic abilities
• Comparison to previous work
As part of TU Dublin's overall protection of Academic Integrity, it is seeking proposals for detection systems/IT Solutions which can be used in association with the Universities VLEs and in conjunction with its university policies and procedures. This detection system should also include an ability to collect evidence based on raised suspicions. Evidence such as
• Textual and electronic evidence
• Knowledge of the academic and linguistic abilities
• Comparison to previous work
II.2.5)
[AwardCriteria]
[AwardCriteriaDescriptive]
II.2.6)
[ValueMagnitudeEstimated]
[ValueExclVat]: 325000.00
EUR
II.2.7)
[DurationContractFrameworkDps]
[DurationMonths]:
12
[RenewalsSubject]:
[Yes]
[RenewalsDescr]:
Option to extend by 12 months up to 4 occasions
II.2.10)
[VariantsInfo]
[VariantsAccepted]:
[No]
II.2.11)
[OptionsInfo]
[Options]:
[No]
II.2.13)
[EuProgrInfo]
[EuProgrRelated]:
[No]
II.2.14)
[InfoAdditional]
Please review documents to confirm our requirements.
[Section3]: [InfoLegal]
III.1)
[ConditionsParticip]
III.2)
[ConditionsContract]
[Section4]: [Procedure]
IV.1)
[Description]
IV.1.1)
[TypeProcedure]
[ProctypeRestricted]
IV.1.8)
[GpaInfo]
[GpaCovered]
: [No]
IV.2)
[InfoAdmin]
IV.2.2)
[LimitReceiptTendersReqPart]
[Date]:
21/11/2022
[Time]:
14:00
IV.2.4)
[LanguagesAllowed]
[Language_EN]
[Section6]: [InfoComplement]
VI.1)
[RecurrenceInfo]
[RecurrentProcurement]:
[No]
VI.4)
[AppealsProcedure]
VI.4.1)
[AppealsBody]
High Courts
Four Courts, Innis quay
Dublin
IE