Payments over €20,000 2016

Spending records

Payment date^*	Supplier	Description	Kind	Amount
31 Dec 2016	Economic and Social Research Institute (ESRI)	Data analysis on completed questionnaires received as part of the consultation process on the development of the curriculum in Education about Religions and Beliefs (ERB) & Ethics	Purchase Order	€30,917.00
31 Dec 2016	Iterate	User Research for corporate website and development of Information Architecture	Purchase Order	€32,090.00
31 Dec 2016	Computer Based Math, The Wolfram Centre	Development of computer-based learning resources in support of the revised Applied Mathematics Syllabus for the Leaving Certificate	Purchase Order	€61,500.00
31 Dec 2016	Prof Jannette Elwood	Research to evaluate the effectiveness of the processes used in the development and use of annotated examples of student work as part of the support provided by NCCA for teachers in coming to assessment judgements in the new Junior Cycle	Purchase Order	€20,000.00
31 Dec 2016	Lero – The Irish Software Research Centre	Research on Leaving Certificate Computer Science	Purchase Order	€24,325.00
31 Dec 2016	2bcreative	Printing and delivery of 1,0000 copies of Aistear books	Purchase Order	€22,690.00
31 Dec 2016	Indigo Multimedia Ltd	Research and development of an app to support and enhance young people's learning in senior cycle physical education	Purchase Order	€82,272.00

^* Payment date may be the end of the reporting quarter when the entity does not publish an exact date.

How to read these figures

These are reported values from published purchase order and payment records — not verified cash paid, and not total spending by this organisation. A row may be a purchase order, a payment, or another reported transaction; the source files often do not say which.

Coverage and quality vary. Some fields are blank, supplier names are free text (the same firm can appear under many labels), and descriptions are inconsistent rather than a controlled taxonomy. An amount alone says nothing about value for money and it may or may not include VAT.

Records are retrieved from each organisation’s published files such as spreadsheets, PDFs, and other formats of uneven quality. Extraction techniques (including automated parsing) can introduce gaps, misreads, or incomplete rows when source layout or quality is poor. Treat the data as a starting point for investigation, not a definitive ledger.

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