the data efficiency project
DESCRIPTION
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 - PowerPoint PPT PresentationTRANSCRIPT
The Data Efficiency Project
Andy YouellDirector of Quality and Development, HESA
Richard PuttockHead of Data and Management Information, HEFCE
SROC Bradford 2009-04-07
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)
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]
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Key findings (1)
• Good HEI engagement
• Similar processes, different systems
• Agreed good practice
• Patchy existence of good practice
Key findings (2)
• Good practice is generally in HEIs hands
• Numerous opportunities for better practice
• Better practice is generally in sponsoring agencies' hands
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
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
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
Good practice (1)
• Governance and culture– Senior ownership of data– Understanding data usage
• People– Data team personnel
• Technology– Technology assessment– Live quality assurance
Good practice (2)
• Process– Timely quality checking– Managing change– Supporting documentation– HESA protocol
• Data– Single data view
Next steps
• Implementation group
• Possible quick wins
Implementation group
• Chair – Nigel Thrift, VC Warwick
• Members – – SROC– ARC – Others - AHUA, AUA planners forum, UPA,
UCISA, JISC, HESA, funding bodies
• Schedule
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)
Finding the report
• www.hefce.ac.uk– Publications
•Research and Evaluation– 2008
• Or http://www.hefce.ac.uk/pubs/rdreports/2008/rd19_08/