uksg conference 2017 breakout - jisc research data shared service - john kaye

Jisc Research Data Shared ServiceJohn Kaye – Senior Co-Design Manager, Research DataORCiD 0000-0002-4400-4252 #JiscRDM

Arpri 2017

03/05/2023

Jisc Research Data Shared Service - UKSG

Content› Who we are› Jisc Research Data Services Context› Discovery Service› IRUSdataUK› RDSS Context and Vision› Service Minimal Viable Products (MVP’s) for Alpha and Beta› University of Jisc sandbox› Data Model› Workflows› User Personas› User research› Research Data Network› Discussion

Google doc: https://tinyurl.com/n8bsng2Link on http://researchdata.network

https://tinyurl.com/n8bsng2

https://tinyurl.com/n8bsng2

http://researchdata.network/

03/05/2023


Who We Are - JiscJisc is the UK higher, further

education and skills sectors’ not-for-profit

organisation for digital services and solutions

Operate shared digital

infrastructure and services

Provide trusted advice and practical assistance for

universities, colleges and learning providers

We…

Negotiate sector-wide deals and conditions

with IT vendors and commercial publishers

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Who We Are - Jisc

MissionTo 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

VisionTo make the UK the most digitally advanced education and research nation in the world

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The Jisc R&D proposition

The goal is

Delivered by

Facilitated by

Using

Developing new national shared technology services

Collaborating across the sector

Jisc as a national body with a technology focus

Jisc’s co-design innovation process

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The futures portfolio consists of three big areas

Store servicesPlaylists

Diagnostic tool

builderCuration

and remixLearner

Analytics Services

Digital capability

Learning

analytics

Digital launchpad

Apprentice workforce

development

Digital leadership

Summer of student

innovation

Analytics academy

Analytics labs

Qualification verification

App and

content store Research data

discovery

Research data

usage metrics

Equipment data

Repository and preservation platform

Research data shared service

?

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Who We Are – Jisc – Futures

“We take risks so you don’t have to…”

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» Jisc Research Data Shared Service Pilot Core Team › Rachel Bruce – SRO› Catherine Grout – Deputy SRO› John Kaye – Product manager› Paul Stokes – Senior co-design manager – research data› Daniela Duca - Senior co-design manager – research data› Dom Fripp – Senior Curation Metadata Developer› Alan Mackenzie – Chief Architect › Nick Lonergan – Project Manager› Mark Moore – Chief UX Consultant

» We also have a dedicated technical team and Jisc!

Who we Are – RDSS Core Team

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» Alpha site - http://ckan.data.alpha.jisc.ac.uk/Research Data Discovery Service

http://ckan.data.alpha.jisc.ac.uk/

http://ckan.data.alpha.jisc.ac.uk/

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Research data usage and metrics

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Shared Service Goals

»Policy compliance»Efficiency»Better research


A KEY

requirement

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…..but a challenging problemImplementing Archivematica for research data preservation at York and Hull

Jenny Mitcham (Digital Archivist) - University of York

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Service Vision


Service MVP (Alpha)


Service MVP (Beta)


Pilot MVP Components

* Under review as additional reporting options may be available, also differing offers from full dashboard/analytics to API only. Further discovery work is underway.

RDSS Component Offer Number of Pilots Requiring (total =17)

RDSS Repository 14RDSS Preservation 17RDSS Reporting 14 (TBC)*RDSS Storage 16


Pilot Alpha MVP Integrations

*RDSS Framework Supplier

RDSS Component Offer Number of Pilots Requiring (total =17)

Eprints (Repository) 12Dspace (Repository) 4Hydra (Repository) 2Symplectic (CRIS)* 4Pure (CRIS) 3Converis (CRIS) 1Authentication 17

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The University of Jisc Sandbox

Apps CRIS

Test dataZenodo

RDSS pilot HEI repositoriesPublisher data

AWS storage + tools

Data repositorie

sFigshare, HydraIslandora, Haplo

Publicationrepositorie

sEprintsD-space

Preservation systems

PreservicaArchivematica

Additionalsoftware

and services

» Scratch environment for testing of configuration and integration of service platform components

» A mock HEI to integrate with» Infrastructure as code, learning from

building, and managing the mixture of SaaS and custom applications. This will allow easy push button install of products

» Working with test data and metadata taken from real HEI repositories

» Consistent and standardised UX» Bespoke development environment

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Data Model

https://github.com/JiscRDSS/rdss-canonical-data-model



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Middlesex Figshare Implementation

»Accelerated deployment in 10 weeks (Installation by 10th November)

»Stakeholder engagement »Development of institutional

requirements»Sign up to Datacite membership » Implementation team (informal)» Integration with Jisc Storage» Implementation of pilot data repository

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Workflows: Challenges

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Institutional Differences – Preservation Capabilities

» Automated preservation workflow: › lack resources (staff, skills, budget, time) to do a comprehensive job of preserving all their

research datasets and will instead › want a low-cost, fully automated, 'black box' approach to digital preservation of at least

some of their data. › They want a 'preservation sausage machine' whereby research data is fed in at one end

and out of the other comes 'preservation packages' containing the research data in a form that is better described and structured for long-term usability.

» Interactive preservation workflow:› Institution will want to work closely with both the Research Data and the Researcher as part

of an iterative process of quality control and digital › This is a more interactive and resource intensive process than 'automated' preservation,

but can yield better results and may be more appropriate for specific types of research or institution.

» The most appropriate workflow to use will depend on many factors, e.g. the experience an institution has with digital preservation, the resources at its disposal, the research discipline or type of data involved, the requirements of the research funder, the institutions policy and so on.

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Workflows: Automated Preservation

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Workflows: Interactive Preservation

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User Personas

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Data Asset Framework

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University services to support RDM

“Support is woeful in the university currently, in particular long-term data archiving is critically

required. Most of my non-current data is rotting on CD's and hard-drives.”

University services to support RDM

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“Please, individualise the support. Workshop are useless, emails with information are useless, brochures are useless, posters are useless.”

Preservation of research data

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“I currently spend about £1,200 pa on data storage from my own salary. I have the highest data needs in my School, and there is no plan in

place for storing my data.”

Sensitive research data

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“It would be helpful to clarify the rules for storing anonymised data on cloud services. My

departmental rules say this is never OK, however this seems to contradict University rules.”


Researchdata.network


»When: 27th to 28th June 2017

»Where: York»Cost: Free!

Research Data Network – June 2017

Registration now openhttp://jisc.ly/UD2if7

More information on the RDN websitehttp://researchdata.network

Image: Sebastiaan ter Burg

#JiscRDM

http://jisc.ly/UD2if7


https://www.flickr.com/photos/ter-burg/




More Info

» Blog: https://researchdata.jiscinvolve.org/wp/ » Research Data Network:

http://researchdata.network » Shared Service web page: https://

www.jisc.ac.uk/rd/projects/research-data-shared-service» Github https://github.com/JiscRDSS

https://researchdata.jiscinvolve.org/wp/

https://researchdata.jiscinvolve.org/wp/


https://www.jisc.ac.uk/rd/projects/research-data-shared-service



https://github.com/JiscRDSS

https://github.com/JiscRDSS

03/05/2023


John Kaye [email protected] @johnpkaye

Except where otherwise noted, this work is licensed under CC-BY-NC-ND

Thank You and Discussion

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» What are your current priorities and pain points with managing data?

» Do you have or are you expecting a data deluge?» What would you like Jisc to provide for managing data?» What would you like the Jisc offer to look like? » Have we missed anything in our pilot project? Are there gaps?» Do you like the ‘pick and mix’ approach or would you like a ‘one

stop shop’?» Are there any aspects of data management you’d like to keep ‘in-

house’?» How much would you like to pay for this? And how would you like

it to be packaged?

Discussion (1)

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» Do you have issues around research systems user experience for researchers and staff?

» How can we bridge the gap between ’generic’ and disciplinary metadata for RDM?

» Do you have issues around systems interoperability?» Do you have issues around data storage?» Do you have preservation needs beyond research data (eg records

management, Archives)?» Can you share any hooks or incentives to engage researchers in data

management services?» Any tips for success and lessons learned that we can utilise in

implementing systems?» Are you a research systems supplier? If so how would you like to

integrate with this proposed service?» Anything else….

Discussion (2)

uksg conference 2017 breakout - jisc research data shared service - john kaye

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