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The HE information landscape made easy
Andy Youell – Director, HEDIIP
Jisc Digital Festival 2014-03-12
The HE information landscape made easier
Andy Youell – Director, HEDIIP
Jisc Digital Festival 2014-03-12
 1300 HE providers
 Govt, funders and regulators
 Professional Statutory & Regulatory Bodies
 HE professional groups and sector bodies
 Students – prospective, current and alumni
 Data users – policy, researchers, media etc..
The HE information landscape
Paragraph 6.22 of the 2011 HE White Paper
 Redesign the information landscape to create a new
system that:
 Meets the needs of a wider group of users
 Reduces duplication
 Results in timelier and more relevant data
 Also work with other government departments
 Secure buy-in to reducing the burden
 Very broad range of organisations, collecting for many
different purposes
 Low awareness of what each other has
 Inconsistent definitions and terminology
 Patchy approach to data standards adoption
 No holistic view of the system
 No mechanism or forum to bring these bodies together
Findings – data collectors/processors
 A diverse group of autonomous institutions
 Few HE providers have a complete picture of their data
reporting requirements
 Some weaknesses in data management and governance
 Uncoordinated responses to (uncoordinated) requests for
data
Findings – HE providers
 It is cheap and plentiful
 It works
 It is an enabler…
 ….if we could become more joined up in other ways
Findings - technology
HEDIIP
Higher Education Data & Information
Improvement Programme
www.hediip.ac.uk @HEDIIP
 HEDIIP is a programme of work hosted by HESA
 Each of the 4 UK funding bodies funds HEDIIP
 Programme Board
 Advisory Panel
 Programme Management Office
 Projects
About HEDIIP
 Inventory of HE data collections
 ULN – where are we now and next steps
 JACS – Problems with the JACS and next steps
 HE Data Language – lexicon and thesaurus
 Programme plan to July 2015
What have we done
 What does a re-designed landscape look like?
 What elements, functions, attributes?
 How is it planned/regulated/managed/controlled etc
 How will we get there?
 How will we know when we have got there?
Theme: Strategy and change
 Data standards and data language
 What standards currently exist? How do we know?
 What do we need to do to achieve standardisation?
 What should not be standardised? How do we know?
 Language and data language?
Theme: Standards and understanding
 How we work
 Why do so many data collections exist?
 How data collectors operate
 How HE institutions respond to requests for data and
information
 How do we manage (measure?) burden?
 How can we increase value?
 Data management and governance
Theme: Capability and excellence
 This is a once-in-a-generation opportunity
 Sector-wide change
 Profile
 Technology
 Political mandate and political buy-in
 This is about organisations and people
Call to action
 Different perspectives and requirements
 Different ideas about what is wrong…
 …and what should be done about it
 People are doing good things
 Jisc
 CASRAI
 …others
We need to listen carefully
 Promote data capability and understanding
 Good practice in management & governance
 Standardisation
 Sharing
 Maximising value
 Articulate the vision…
 …in a language that people can connect with
We need to speak clearly
The HE information landscape made easier
Andy Youell – Director, HEDIIP
Jisc Digital Festival 2014-03-12

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The information landscape made easier – a call to action - Andy Youell - Jisc Digital Festival 2014

  • 1.
  • 2. The HE information landscape made easy Andy Youell – Director, HEDIIP Jisc Digital Festival 2014-03-12
  • 3. The HE information landscape made easier Andy Youell – Director, HEDIIP Jisc Digital Festival 2014-03-12
  • 4.  1300 HE providers  Govt, funders and regulators  Professional Statutory & Regulatory Bodies  HE professional groups and sector bodies  Students – prospective, current and alumni  Data users – policy, researchers, media etc.. The HE information landscape
  • 5. Paragraph 6.22 of the 2011 HE White Paper  Redesign the information landscape to create a new system that:  Meets the needs of a wider group of users  Reduces duplication  Results in timelier and more relevant data  Also work with other government departments  Secure buy-in to reducing the burden
  • 6.
  • 7.  Very broad range of organisations, collecting for many different purposes  Low awareness of what each other has  Inconsistent definitions and terminology  Patchy approach to data standards adoption  No holistic view of the system  No mechanism or forum to bring these bodies together Findings – data collectors/processors
  • 8.  A diverse group of autonomous institutions  Few HE providers have a complete picture of their data reporting requirements  Some weaknesses in data management and governance  Uncoordinated responses to (uncoordinated) requests for data Findings – HE providers
  • 9.  It is cheap and plentiful  It works  It is an enabler…  ….if we could become more joined up in other ways Findings - technology
  • 10. HEDIIP Higher Education Data & Information Improvement Programme www.hediip.ac.uk @HEDIIP
  • 11.  HEDIIP is a programme of work hosted by HESA  Each of the 4 UK funding bodies funds HEDIIP  Programme Board  Advisory Panel  Programme Management Office  Projects About HEDIIP
  • 12.  Inventory of HE data collections  ULN – where are we now and next steps  JACS – Problems with the JACS and next steps  HE Data Language – lexicon and thesaurus  Programme plan to July 2015 What have we done
  • 13.  What does a re-designed landscape look like?  What elements, functions, attributes?  How is it planned/regulated/managed/controlled etc  How will we get there?  How will we know when we have got there? Theme: Strategy and change
  • 14.  Data standards and data language  What standards currently exist? How do we know?  What do we need to do to achieve standardisation?  What should not be standardised? How do we know?  Language and data language? Theme: Standards and understanding
  • 15.  How we work  Why do so many data collections exist?  How data collectors operate  How HE institutions respond to requests for data and information  How do we manage (measure?) burden?  How can we increase value?  Data management and governance Theme: Capability and excellence
  • 16.  This is a once-in-a-generation opportunity  Sector-wide change  Profile  Technology  Political mandate and political buy-in  This is about organisations and people Call to action
  • 17.  Different perspectives and requirements  Different ideas about what is wrong…  …and what should be done about it  People are doing good things  Jisc  CASRAI  …others We need to listen carefully
  • 18.  Promote data capability and understanding  Good practice in management & governance  Standardisation  Sharing  Maximising value  Articulate the vision…  …in a language that people can connect with We need to speak clearly
  • 19. The HE information landscape made easier Andy Youell – Director, HEDIIP Jisc Digital Festival 2014-03-12