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The Data Efficiency Project

The Data Efficiency Project. Richard Puttock Head of Data and Management Information, HEFCE. Andy Youell Director of Quality and Development, HESA. SROC Bradford 2009-04-07. The Data Efficiency Project. Funded by HEFCE, SFC, HEFCW, TDA and HESA Undertaken by PriceWaterhouseCoopers

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The Data Efficiency Project

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  1. The Data Efficiency Project Richard Puttock Head of Data and Management Information, HEFCE Andy Youell Director of Quality and Development, HESA SROC Bradford 2009-04-07

  2. The Data Efficiency Project • Funded by HEFCE, SFC, HEFCW, TDA and HESA • Undertaken by PriceWaterhouseCoopers • Report published on HEFCE web-site (Circular letter 28/2008)

  3. Objectives • To understand the data-related burdens and operational barriers that arise in institutions in delivering the HESA Staff and Student returns; • To identify and/or develop improvements to the existing process; • To produce a Road Map to implement the improvements identified; and • [To gather data on the nature of the additional burdens involved in data returns for Atypical staff]

  4. 80 70 60 50 40 Number of institutions 30 20 10 0 1 7 14 21 28 4 11 18 25 2 9 16 23 30 6 13 Aug Aug Aug Aug Aug Sep Sep Sep Sep Oct Oct Oct Oct Oct Nov Nov INSERT COMMIT CREDIBLE

  5. Key findings (1) • Good HEI engagement • Similar processes, different systems • Agreed good practice • Patchy existence of good practice

  6. Key findings (2) • Good practice is generally in HEIs hands • Numerous opportunities for better practice • Better practice is generally in sponsoring agencies' hands

  7. Sources of burden - student data (1) • Adapting to changes in the collection requirements • Correcting errors in the original data • Waiting for/correcting errors in the *J file • Meeting the return deadline within resource constraints

  8. Sources of burden - student data (2) • Entering the data into the system at the start of the process • Overcoming resistance to the process from colleagues • Aligning new IT systems with the return requirements in order to meet the deadline

  9. Sources of burden - student data (3) • Obtaining correct data from students during the process • Training new staff in time to meet the return deadline • Aligning HEI data structures with the HESA data structures

  10. Good practice (1) • Governance and culture • Senior ownership of data • Understanding data usage • People • Data team personnel • Technology • Technology assessment • Live quality assurance

  11. Good practice (2) • Process • Timely quality checking • Managing change • Supporting documentation • HESA protocol • Data • Single data view

  12. Next steps • Implementation group • Possible quick wins

  13. Implementation group • Chair – Nigel Thrift, VC Warwick • Members – • SROC • ARC • Others - AHUA, AUA planners forum, UPA, UCISA, JISC, HESA, funding bodies • Schedule

  14. Possible quick wins • Star J and UCAS liaison (A04 & A19) • Stability of student returns (A02) • Clarifying why “we” want data (A06) • Integration of HEFCE web-facility (A13)

  15. Finding the report • www.hefce.ac.uk • Publications • Research and Evaluation • 2008 • Or http://www.hefce.ac.uk/pubs/rdreports/2008/rd19_08/

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