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Introduction to Jisc and
research analytics.
July 2019
Chris Keene, head of library and scholarly futures, Jisc
What do we do?
Shared digital
infrastructure and
services
Expert and trusted
practical support and
assistance
Sector wide deals
with IT vendors and
commercial publishers
Research and development
Janet / Eduroam Jisc collections GDPR, Cloud…
Jisc role and services
Jisc role and services
Jisc role and services
Jisc Collections negotiations
• journals, books, databases
• software…
Open access services
• RoMEO, Router, CORE
Content platforms
• Historical texts, geospatial
Library tools
• Library Hub, usage portal
Jisc role and services
Integration
platform
Preservation
Data repository
OA repository
Reporting tools
Research tools
Open research hub
Research analytics?
University data
HESA data
Jisc data
3rd party/open
data
Dashboards etc
Integration
platform
Education 4.0 / Research 4.0
The Fourth Industrial Revolution
The First Industrial Revolution used water and steam power to
mechanize production.
The Second used electric power to create mass production.
The Third used electronics and information technology to automate
production.
Now a Fourth Industrial Revolution is building on the Third, the
digital revolution that has been occurring since the middle of the last
century. It is characterized by a fusion of technologies that is
blurring the lines between the physical, digital, and biological
spheres.
The Fourth Industrial Revolution, Klaus Schwab
https://www.foreignaffairs.com/articles/2015-12-12/fourth-industrial-revolution
Insert footer9
Vision
“Research 4.0”: convergence of ubiquitous networks, big
data, machine learning, IoT, robotics…
Will affect research, its organisation, and its relation with
wider economy and society
Research - Our understanding of the context
10
• Vision
• “Research 4.0”: convergence of
ubiquitous networks, big data,
machine learning, IoT, robotics…
• Will affect research, its organisation, and
its relation with wider economy and society
• Validation and engagement
• Consultation and engagement with
institutional leaders, professional
support staff, researchers, funders…
• Services
• Research information and analytics
• FAIR and open scholarship
• Authentication and access
• Network and cybersecurity
• Cloud / data infrastructure
Financial sustainability – reducing costs, attracting investment, diversifying
revenue to increase resilience
Expertise needed / developed by sector (‘talent pipeline’) – skills and CPD,
effect of digital on EDI, mobility across sectors / internationally, team research,
positive research culture, and public engagement to inspire future researchers
Performance – enabling excellent, cutting edge, pure and applied research and
innovation that fully exploits the potential of digital technologies
Integrity and ethics – making sure digital research is ethical (responsible research
and innovation), has integrity (eg reproducibility), transparency (open research) and
security (AAAI and cybersecurity)
Knowledge exchange – digital technologies enabling research and innovation
collaboration with business, civil society, culture, policy and society, etc, across all
parts of the UK / regions.
International – digital technologies enabling collaboration, providing a research
environment that encourages investment and staff mobility, and that benefit from
compatible regulation in the context of Brexit
Organisational strategies – that support data-intensive research, and that
themselves are data-informed, using indicators responsibly, being aware of the
incentives they can create
Sector prioritiesJisc approach
Forum for responsible metrics
11
• The Forum have a programme of activities, including:
• · Advice to the higher education funding bodies on quantitative indicators in the Research
Excellence Framework (REF) 2021
• · Advice on, and work to improve, the data infrastructure that underpins metric use
• · Advocacy and leadership on the use of research metrics responsibly
• · International engagement on the use of metrics in research and researcher assessment
Research analytics
Jisc research analytics12
• Building on our experience with learning analytics, analytics labs.
• Consultation and engagement with institutional leaders, professional support staff,
researchers, funders…
• Exploring options and small experiments.
• But thinking about the future, and what opportunities and challenges the sector
will face

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Jisc R&D work in Research Analytics

  • 1. Introduction to Jisc and research analytics. July 2019 Chris Keene, head of library and scholarly futures, Jisc
  • 2. What do we do? Shared digital infrastructure and services Expert and trusted practical support and assistance Sector wide deals with IT vendors and commercial publishers Research and development Janet / Eduroam Jisc collections GDPR, Cloud…
  • 3. Jisc role and services
  • 4. Jisc role and services
  • 5. Jisc role and services Jisc Collections negotiations • journals, books, databases • software… Open access services • RoMEO, Router, CORE Content platforms • Historical texts, geospatial Library tools • Library Hub, usage portal
  • 6. Jisc role and services Integration platform Preservation Data repository OA repository Reporting tools Research tools Open research hub Research analytics? University data HESA data Jisc data 3rd party/open data Dashboards etc Integration platform
  • 7. Education 4.0 / Research 4.0
  • 8. The Fourth Industrial Revolution The First Industrial Revolution used water and steam power to mechanize production. The Second used electric power to create mass production. The Third used electronics and information technology to automate production. Now a Fourth Industrial Revolution is building on the Third, the digital revolution that has been occurring since the middle of the last century. It is characterized by a fusion of technologies that is blurring the lines between the physical, digital, and biological spheres. The Fourth Industrial Revolution, Klaus Schwab https://www.foreignaffairs.com/articles/2015-12-12/fourth-industrial-revolution
  • 9. Insert footer9 Vision “Research 4.0”: convergence of ubiquitous networks, big data, machine learning, IoT, robotics… Will affect research, its organisation, and its relation with wider economy and society
  • 10. Research - Our understanding of the context 10 • Vision • “Research 4.0”: convergence of ubiquitous networks, big data, machine learning, IoT, robotics… • Will affect research, its organisation, and its relation with wider economy and society • Validation and engagement • Consultation and engagement with institutional leaders, professional support staff, researchers, funders… • Services • Research information and analytics • FAIR and open scholarship • Authentication and access • Network and cybersecurity • Cloud / data infrastructure Financial sustainability – reducing costs, attracting investment, diversifying revenue to increase resilience Expertise needed / developed by sector (‘talent pipeline’) – skills and CPD, effect of digital on EDI, mobility across sectors / internationally, team research, positive research culture, and public engagement to inspire future researchers Performance – enabling excellent, cutting edge, pure and applied research and innovation that fully exploits the potential of digital technologies Integrity and ethics – making sure digital research is ethical (responsible research and innovation), has integrity (eg reproducibility), transparency (open research) and security (AAAI and cybersecurity) Knowledge exchange – digital technologies enabling research and innovation collaboration with business, civil society, culture, policy and society, etc, across all parts of the UK / regions. International – digital technologies enabling collaboration, providing a research environment that encourages investment and staff mobility, and that benefit from compatible regulation in the context of Brexit Organisational strategies – that support data-intensive research, and that themselves are data-informed, using indicators responsibly, being aware of the incentives they can create Sector prioritiesJisc approach
  • 11. Forum for responsible metrics 11 • The Forum have a programme of activities, including: • · Advice to the higher education funding bodies on quantitative indicators in the Research Excellence Framework (REF) 2021 • · Advice on, and work to improve, the data infrastructure that underpins metric use • · Advocacy and leadership on the use of research metrics responsibly • · International engagement on the use of metrics in research and researcher assessment
  • 12. Research analytics Jisc research analytics12 • Building on our experience with learning analytics, analytics labs. • Consultation and engagement with institutional leaders, professional support staff, researchers, funders… • Exploring options and small experiments. • But thinking about the future, and what opportunities and challenges the sector will face

Editor's Notes

  1. We do three main things: We operate shared digital infrastructure and services We negotiate sector-wide deals with IT vendors and commercial publishers We provide trusted advice and practical assistance for universities, colleges and learning providers Our research and development work is integrated across these three areas. We are supported by several key platforms (?) including: the high speed, high bandwidth and very reliable Janet network plus Eduroam (giving network access across locations) The Jisc Collections web site The learning data hub (our cloud-based storage solution for student records and data. It includes the data of 30 HEIs and is growing- and supports the world’s first national learning analytics service of its kind). We are a long-term, trusted sector body with the capability and capacity for delivery.
  2. James wilsdon Robustness – basing metrics on the best possible data in terms of accuracy and scope Humility – recognising that quantitative evaluation should support, but not supplant, qualitative, expert assessment Transparency – that those being evaluated can test and verify the results Diversity – accounting for variation by research field, and using a range of indicators to reflect and support a plurality of research and researcher career paths across the system Reflexivity – recognising and anticipating the systemic and potential effects of indicators, and updating them in response