Keynote: HE reimagined - plus ça change Paul Feldman, Chief Executive, Jisc

1. HE reimagined
Paul Feldman, Chief executive, Jisc
1
14/06/2018

3. Better student outcomes
Learning analytics and
personalisation
Better planning and management of
technology-enhanced learning
Evidence-informed
improvements
Delivery of high-quality, cost-
effective blended learning
Affordable and engaging
content and tools
Respond to a changing
external landscape
New models of provision;
expanded sector
Digitalcapability
2020 Jisc strategic priorities for learning and teaching

6. A more efficient campus
Buildings data
+
Learning space data
+
Location data
Improved teaching and curricula
Teaching quality data
+
Assessment data
+
Curriculum design data
Personalised and adaptive
learning
Content data
+
Learning pathways
data
Improved teaching
and curricula
Better retention
and attainment
VLE data
+
Student record
system
+
Attendance data
+
Library data
Efficient campus
Retention and
attainment
+
+
+
Learning
analytics
Institutional
analytics
Educational
analytics
Cognitive
Analytics andAI
Now Future

7. https://pixabay.com/en/photos/robotics/

8. Jeff Clune Associate Professor, University of Wyoming

10. 10

12. 12

13. 13

14. https://sketchfab.com/models/38315a821d0342a5a1189a7144f18b25?utm_medium=embed&utm_source=website&utm_campain=share-popup

15. larp.mae.usp.br/rv/domus-v-r

17. labster.com

18. wired.co.uk/article/wired-health-virtual-reality-surgery-shafi-ahmed

19. 19University of Huddersfield archive

20. 20

21. 21

24. 24

25. Source: thetimes.co.uk/article/scientists-invent-star-trek-type-holograms-mcp8xh3xs

27. Metricating the campus
Intelligent libraryIntelligent estate Smart experiments Smart city
Intelligent
workspaces
Enhanced student
experience
Intelligent
learning
spaces

28. Coming together with learning analytics

30. Areas of action
14/06/2018 HE reimagined 30
Research Analytics
Open Science
Data-driven
Skills
Research Commons
Impact (KEF); excellence and integrity (REF/benchmarking/gaps/responsible metrics);
international (plan collaborations)
e-infrastructure
Impact (access/reach eg public/SMEs/X-discipline); excellence and integrity
(scrutiny/replicability/analysis); international (showcase/attract researchers/investment
to UK)
Impact (collaborative research/ grand challenges/new findings); excellence and integrity
(capability and practice in use of new technologies); international (cost effective digital
collaboration environments)
Impact (researchers/supportive staff use digital to reach wider audiences); excellence
and integrity (effective use in use of digital for better research ); international (UK
research attractiveness, skilled researchers to collaborate with)
Bringing together Jisc offer and capability, technology and data , e-infrastructure to work
more efficiently and effectively, to be flexible and scalable and to meet more needs and
extend their value and reach

31. Challenges
» Costs for open access, market issues, little price sensitivity
» Costs of open research data , lack of consensus on what data to keep and why
» Evolving and reflexive research culture and incentives
» Research and scholarly communication are global, which complicates national action
» Serving different disciplines
» Intersecting and contrary policies (GDPR, FoI, open science, PSI?)
» Benefits of open research are often diffuse and hard to trace
» Business models, sustainability of key services and infrastructure
» Who acts? HEI, researcher, funder, infrastructure / service provider
14/06/2018 HE reimagined 31

32. Jisc shared service for open research
14/06/2018 HE reimagined 32
Information sources
» Publications Router
» Publishers
» Crossref
» ORCID
» DataCite
» PubMed
» Sherpa policy tools
University systems
» (Single Sign-On,
Finance, HR..)
» eLab notebooks
Information
destinations
» Google etc
» Discovery services
» JiscCORE
(global OA
aggregation)
» Jisc Monitor
(compliance checking)
» JiscCollections
» Funders systems
» OpenAIRE + for EU
Preservation
services
Reports and
dashboards
University Z repository
Open Access publications
Research datasets
University X repository
Research datasets
Open Access publications
University Y repository
Research datasets
Open Access publications

33. Research data shared service
14/06/2018 HE reimagined 33
1. Researcher
deposits data
1. Record of data
external deposit
Repository
OR
Messaging
layer
6. Researchers find
and reuse data
Preservation
service
Reporting and
analytics
Archival data
storage
3. Data is
automatically
preserved
4. Use of data
and service is
monitored
7. Data stored
long term
Institutional or
external services
2. Data added
to aggregation
5. Other services
are updated
National research
data aggregation

35. Current situation: 6 lines of action of the EOSC model *
* Implementation Roadmap for the European Open Science Cloud (SWD(2018)83)
FAIR data management and tools. A common data language to ensure data stewardship across
borders/disciplines based on FAIR principles.b. Data
Rules of participation for different EOSC actors. An opportunity to comply with existing legal and
technical frameworks and increase legal certainty and trust.e. Rules
Architecture of the federated infrastructures as the solution to the current fragmentation in
research data infrastructures which are insufficiently interoperable.a. Architecture
Governance of the EOSC, aiming at ensuring EU leadership in data-driven science but requiring
new governance frameworks.
Mechanisms/interfaces for accessing EOSC. A simple way for dealing with open data obligations
or accessing research data across different disciplines.
d. Access and
Interface
Available services from a user perspective. A rich environment offering a wide range of services
covering the needs of the users.c. Services
f. Governance
14/06/2018 HE reimagined 35

36. 36Source: http://cnets.indiana.edu/groups/nan/webtraffic/websci14-data
Copyright 2010 Indiana University
Truthy.Indiana.edu

37. 37Source: datazar.com/features

38. 38Source:causaly.com/#why

39. 39Source: apert.io

40. 40Source: standard.co.uk/news/uk/robot-scientist-discovers-toothpaste-can-help-cure-malaria-a3743221.html
AI 'robot scientist'
discovers toothpaste
could help fight malaria

41. 41

42. 42Source: aaai.org/ojs/index.php/aimagazine/article/view/2642

43. 43