National Pupil Database: The Future Catherine Blackham Data Services Group DfES.

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Presentation transcript:

National Pupil Database: The Future Catherine Blackham Data Services Group DfES

National Pupil Database: The Future NPD content development Data collection developments Gaining better access to the data NPD and the DfES Data Warehouse

NPD Content Development: Children Looked After Children’s Act 2004 Safeguard & promote the welfare of a child, in particular to promote educational achievement Allows identifying information to be submitted by authorities to Secretary of State. To allow the linkage of 2 databases; The CLA (Children Looked After) database The National Pupil Database

NPD Content Development: Children Looked After Key benefits: Improved Analysis Reducing Burdens Issues still to be addressed: Access rights

NPD Content Development: Higher Education Data Administrative Data Sources Higher Education Statistics Agency (HESA) record Universities & Colleges Admissions Service (UCAS) record Student Loan Company (SLC) Protocol

NPD Content Development: Higher Education Data Key Benefits Modelling of changes of entry and application to HE Analyses of why different groups apply for different institutions Modelling changes in patterns of HE achievements

NPD Content Development: Level 2 & Level 3 at 19 database What is it? Relatively new dataset Assesses the first time a student achieves Level 2 & Level 3 Includes Academic/Vocational data from Awarding Bodies & Individual Learner Record Developments planned? Discounting across dataset to allow point scores to be calculated

Developments to Data Collections: School Census Background No longer called PLASC Secondary Schools 2006; Primary Schools 2007 What’s different? Termly pupil collection New data items – Absence & Exclusions

Developments to Data Collections: Improved Processes Background Three DfES projects concerned with collection & preparation of pupil data What’s different? One single contract Benefits? Removes duplication Single source of data Better quality and more consistent data Improved timing

NPD: Developments in Data Access On-line DfES portal containing; Data analyses tools – to allow slicing and dicing of the data Standard Reports – School, Local Authority & National analyses Data Extract tool – to allow users to download their own data extracts

What is the Data Warehouse? Data Warehouse Pupil Data (NPD) School Level Data Geographical Data School Workforce Data Local Authority Data LA No. Postcode School No. Postcode LA No. Reference Data

Data Warehouse: School Database Background need for a consistent picture of school level data over time What’s in it? Attainment data School characteristics Aggregate pupil characteristics (where possible) Finance

Data Warehouse: School Database Key Benefits Time-series analyses Changes in school performance Changes in school characteristics When initiatives impact on performance Issues still to be addressed: Status of data

Any Questions? Contact Details: –