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The Data Efficiency Project

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The Data Efficiency Project. Funded by HEFCE, SFC, HEFCW, TDA and HESA ... Chair Nigel Thrift, VC Warwick. Members. SROC. ARC ... – PowerPoint PPT presentation

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Title: The Data Efficiency Project


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
(No Transcript)
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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