Daniela Duca's presentation at the DataVault workshop on 29 June. An overview of research at risk, research data shared service and research data spring.
Rachel Bruce, deputy chief innovation officer at Jisc talking about the feedback from the research data shared service pilots on DMP. Research Data Network, York
National data services lightening talk at the RDAJisc RDM
Our slides for the lightening talk at the annual RDA in Tokyo. All about the national shared services to support research data infrastructure. March 2016.
Research data spring: filling in the digital preservation gapJisc RDM
The research data spring project "Filling in the digital preservation gap" slides for the third sandpit workshop. Project led by Jenny Mitcham at York University and Chris Awre at Hull University.
HESA data, describing research activity and #REF2021Jisc RDM
Research Data Network
Dan Cook, Head of Data Policy & Development at HESA;
An update on the work Hesa is doing in relation to research data, especially in the context of the forthcoming REF.
Show me the money - the long path to a sustainable RDM FacilityJisc RDM
Show me the money - the long path to a sustainable RDM Facility
A presentation by Marta Teperek from Cambridge University about the challenges encountered in developing business case and costing models for managing research data. Session held at Cardiff University for the Research Data Network event in May 2016.
Business case and cost modelling for an end-to-end RDM serviceJisc RDM
Presentation by Frances Madden and Dave Cobb on the Royal Holloway business case and cost modelling for RDM. Cardiff, May 2016, research data network event.
Researcher data management shared service for the UK – John Kaye, Jisc
Hydra - Tom Cramer, Stanford University and Chris Awre, University of Hull
Addressing the preservation gap at the University of York - Jenny Mitcham, University of York
Emulation developments - David Rosenthal, Stanford University
Jisc and CNI conference, 6 July 2016
Rachel Bruce, deputy chief innovation officer at Jisc talking about the feedback from the research data shared service pilots on DMP. Research Data Network, York
National data services lightening talk at the RDAJisc RDM
Our slides for the lightening talk at the annual RDA in Tokyo. All about the national shared services to support research data infrastructure. March 2016.
Research data spring: filling in the digital preservation gapJisc RDM
The research data spring project "Filling in the digital preservation gap" slides for the third sandpit workshop. Project led by Jenny Mitcham at York University and Chris Awre at Hull University.
HESA data, describing research activity and #REF2021Jisc RDM
Research Data Network
Dan Cook, Head of Data Policy & Development at HESA;
An update on the work Hesa is doing in relation to research data, especially in the context of the forthcoming REF.
Show me the money - the long path to a sustainable RDM FacilityJisc RDM
Show me the money - the long path to a sustainable RDM Facility
A presentation by Marta Teperek from Cambridge University about the challenges encountered in developing business case and costing models for managing research data. Session held at Cardiff University for the Research Data Network event in May 2016.
Business case and cost modelling for an end-to-end RDM serviceJisc RDM
Presentation by Frances Madden and Dave Cobb on the Royal Holloway business case and cost modelling for RDM. Cardiff, May 2016, research data network event.
Researcher data management shared service for the UK – John Kaye, Jisc
Hydra - Tom Cramer, Stanford University and Chris Awre, University of Hull
Addressing the preservation gap at the University of York - Jenny Mitcham, University of York
Emulation developments - David Rosenthal, Stanford University
Jisc and CNI conference, 6 July 2016
A Jisc perspective of digital notebooks including a summary of work on e-Lab notebooks, VREs, the next generation research environment and the research data shared service. How might ELNs be incorporated into a future open science shared service? Presented at "Digital Notebooks - how to provide solutions for researchers?" workshop in TU Delft (16 March 2018)
Implementing Open Access: Effective Management of Your Research DataMartin Hamilton
The slides from my session with the DCC's Martin Donnelly at the Understanding ModernGov "Implementing Open Access" event in June 2014. Our talk is all about the support available from Jisc and the DCC to help you manage your research data, and potential future initiatives that might help institutions to handle the move to "open science".
The Jisc Research Data Shared Service (RDSS) is a
project that will integrate the offerings of a number of
repository, preservation, storage, reporting and information
management providers in order to allow UK universities to
easily deposit data for publication, discovery, safe storage,
and long-term archiving and preservation. This is a pilot
project until April 2018 working with 17 UK universities with
the overarching aim to ensure the long-term accessibility of
valuable research data, allowing it to be reused and shared.
Lessons from Journal Research Data Policy Registry PilotJisc RDM
Linda Naughton presenting on the lessons learnt from the Journal Research Data Policy Registry pilot at a workshop organised by National Institutes of Health and SPARC held at the World Bank on the 7th of October in Washington, DC.
Recent national and international mandates and reports seek to promote an open research infrastructure which facilitates easy access to knowledge and information for all. For example, The UK Open Research Data Task Force report, released in February 2019, recommends user-friendly services for research data management and infrastructure to maximise interoperability and discoverability.
Jisc has built the Open Research Hub (JORH), which integrates a repository, preservation, reporting and storage platform. This cloud-based service is a community governed, multi-tenant solution for universities and other research institutions to manage, store, preserve and share their published research data. Based on existing open standards, the service’s open and extensive data model incorporates best practice from across the sector, including DataCite, CrossRef, CERIF, Dublin Core and PREMIS.
While the Hub was built to address the needs of research data curation, its adoption of open, best practice standards means it has the potential to allow the service to handle a much wider range of digital research objects, including Open Access articles, theses and software. The data model, rich messaging layer and an open API facilitate interoperability with other institutional and scholarly communications systems. This provides the potential for the Hub to underpin infrastructure capable of meeting the requirements of an ever-evolving open research agenda.
This talk will introduce some of the key initiatives seeking to shape open research infrastructure and discuss how the Hub’s current and future development is directed towards facilitating open research best practice. Consideration will be given to how the Hub either meets or can meet recent recommendations such as FAIR, Plan S, ORDTF and the COAR’s Next Generation Repositories.
Jisc Research Data Shared Service - a Samvera case studyJisc RDM
As part of its Research Data Shared Service (RDSS), Jisc has been developing a repository component as part of its core architecture . Through making an integrated research data management platform available to UK Universities, there is a growing demand from small to medium HEIs for the RDSS to provide a single repository solution that fits their needs for publications and data with workflows for Open Access and REF submissions. To achieve this, the repository must be integrated with other Jisc Open Access services such as Sherpa, Jisc Monitor and Publications router, along with those provided by external stakeholders such as ORCID, Crossref, DataCite and OpenAIRE.
This presentation is a case study in evaluating Samvera for this role, and its suitability as a multi-tenanted, sustainable hybrid repository that is both attractive to researchers and universities and aligns with the broader international objectives of the community, the FAIR agenda and open science.
Stories from the Field: Data are Messy and that's (kind of) okJisc RDM
Jude Towers and David Ellis on research data at Lancaster Unviversity and within their own disciplines. At the Research Data Champions Day 26 March 2018.
'Making the case for a research data shared service' in the Measuring Success and Changing Culture session Presented during the National RDM Strategies session of the Göttingen-CODATA RDM Symposium 2018
Title: Monitoring institutional compliance with RDM policy
database that is used by the team to monitor compliance.
Research Data Network
University of Strathclyde
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
1. Jisc work in research data14/06/2016
DataVault ImplementationWorkshop
2. Content
» About Jisc
» Research at Risk
– Research Data Shared Service
– Research Data Spring
2Jisc work in research data
3. Our vision and mission
Jisc work in research data 3
Mission
To enable people in higher
education, further education and
skills to perform at the forefront of
international practice by exploiting
fully the possibilities of modern
digital empowerment, content
and connectivity
Vision
To make the UK the most
digitally advanced
education and research
nation in the world
4. We do… 3 main things
Jisc work in research data 4
Shared digital
infrastructure
and services
Expert and
trusted advice
and practical
assistance
Sector wide deals
with IT vendors
and commercial
publishers
Current
examples:
Janet network,
shared data centre,
eduroam wireless,
geospatial services
Future
examples:
Learner analytics,
research data
management,
FE college
in a box
Current
examples:
Microsoft 365
email, Amazon
web services,
e-journals,
FE e-books
Future
examples:
Prevent web
filtering,Tableau,
new models for
digital publishing
Current
examples:
Financial x-ray,
cloud advice,
cyber
security/business
continuity
Future
examples:
FE mergers, open
access good
practice, national
monograph
strategy
5. A vision for research data shared infrastructure
Jisc work in research data 5
6. Co-design vision for Research
To view and read the research 2020 vision: https://jisc.ac.uk/sites/default/files/research-vision.pdf
6/29/2016 Research at Risk Update 6
7. Research at Risk Overview
6/29/2016 Research at Risk Update 7
Research data
discoveryResearch
data
usage
metrics
Equipme
nt
sharing
Research
data
shared
service
Business
case and
costing
Research
data
spring
prototypes
Our work in Research at Risk is focused on
delivering a robust a research data
management infrastructure and services to
enrich UK research.We are developing a range
of tools, services and guidance to support
research data management in institutions in
close consultation with the higher education
sector.Through these we are supporting
compliance with research data policies as well
as enabling the broader sharing and
accessibility of research data.
Journal
research
data
policies
8. Project highlights
6/29/2016 Research at Risk Update 8
Research data
discoveryResearch
data
usage
metrics
Equipme
nt
sharing
Research
data
shared
service
Business
case and
costing
Research
data
spring
prototypes
Journal
research
data
policies
An infrastructure to enable
interoperability and a one-
stop-shop for RDM.
A platform that enables the discovery of
research data from across UK higher
education and research data centres.
A clearly articulated high level business
case for RDM, underpinned by economic
evidence.
A service to show where data is accessed
and reused based on agreed and reliable
indicators. Based on IRUS-UK.
An infrastructure that will help universities
share their research equipment with each
other and with industry.
An initiative to develop tools that help
researchers and institutions by
empowering innovative collaborations.
An analysis of 250 journal policies and
work on templates and definitions for
good practice.
10. Research Data Shared Service
Vision
»Visible data, invisible
infrastructure
For researchers:
intuitive, easy functionality
For institutions:
interoperable systems and
best practice
Goals
» Policy compliance
» Increase sector efficiencies
» Improve integrity of
research
» Address gaps
» Accelerate RDM
» Support for Open
Access/REF
10Jisc work in research data
11. Why a Shared Service for research data?
»There is no “solution” easily available and that meets
requirements for Universities to enable Research Data
Management
»Cost savings and efficiencies
»Common approaches and practice
»Research system standardisation and interoperability
11Jisc work in research data
12. Why a Shared Service?
Jisc work in research data 12
14. High level RDM Architecture
14
Credit for Architecture concepts: John Lewis (Sheffield) & Stuart Lewis (Edinburgh) http://dx.doi.org/10.6084/m9.figshare.1202230
Jisc work in research data
15. Pilot Shared Service Scope
15
Credit for Architecture concepts: John Lewis (Sheffield) & Stuart Lewis (Edinburgh) http://dx.doi.org/10.6084/m9.figshare.1202230
Pilot Shared Service Area Other R@R Work Areas Existing Jisc Services/Agreement Areas
Jisc work in research data
17. Research Data Shared ServiceTimeline
Jisc work in research data 17
Milestones 2015-18
Apr 2015-Dec 2015 Jan 2016 – July 2016 Aug-2016 -June 2017 Jul 2017-Sept 2017 Oct 2017-Apr 2018
-Requirements -
HEI Pilots
Selected
-Procurement
commences
- Support
consultancy work
begins
-Supplier
Framework
selected
-Alpha
Development
-Alpha service
tested and
reviewed
-Beta
Development
-Feedback on Beta
Service
- Business case
decision
-If go then begin
transition to
production service
-Institutional
survey
-HEI and supplier
workshops
-Pilot HEI
selection process
-Detailed HEI
requirements and
technical
architecture
-Contracting
commences
-Development
Phase
-Contact additional
early adopter HEI’s
and promote Beta
Service
-Business planning
and Begin Business
Case
-Market Research
and Consultation
-Promote service to
institutions
-Start on next
phases (service
enhancement/mod
ular)
18. Pilots
» Cardiff University
» CREST - Buckinghamshire
New University
» CREST - Harper Adams
» CREST - St Mary’s
Twickenham
» CREST - UCA
» ImperialCollege of Science,
Technology and Medicine
» Middlesex University
» Plymouth University
» Royal College of Music
» St George's Hospital Medical
School
» University of Cambridge
» University of Lancaster
» University of Lincoln
» University of St Andrews
» University of Surrey
» University ofYork
18Jisc work in research data
19. RD Shared Service Framework Lots
» Lot 1 - Research Data Repositories (4)
» Lot 2- Repository Interfaces (6)
» Lot 3 - Research Data Exchange Interface (3)
» Lot 4 - Research Information andAdministration Systems
Integrations (1)
» Lot 5 -Research Data Preservation Platforms (2)
» Lot 6 - Research Data Preservation tools development (2)
» Lot 7 - Research Data Reporting (2)
» Lot 8 - User Experience enhancements (4)
19Jisc work in research data
20. Links to R@R Portfolio
20Jisc work in research data
22. The initiative
Develop tools to help researchers and institutions
Empower and enable innovative collaborations
»Key features:
› 3-phased approach
› Check points and panel
› Sector feedback and engagement
Jisc work in research data 22
24. The projects – Phase III
1. DMAOnline - RDM
Administration Analytics
2. Develop a DataVault
3. Filling the Digital
Preservation Gap
4. Clipper: EnhancingTime-
based Media for Research
5. Giving Researchers Credit
for their Data & OJS to
Repository Plugin
6. Extending OPD to cover
RDM
7. Artivity
Jisc work in research data 24
26. Next steps
»Updates on the synthesis work from the DPC and SSI
»Working with the projects to develop their projects into
robust and sustainable solutions (either as web apps,
beta services, part of larger infrastructure, along with
case studies)
»Final showcase of all participating projects – Autumn
2016
Jisc work in research data 26
27. Jisc work in research data 27
Thank you!
And any questions?
Daniela Duca, Jisc @danielagduca
daniela.duca@jisc.ac.uk
Except where otherwise noted, this
work is licensed under CC-BY-NC-ND