Vitae tomorrows-researchers

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Insights into Researcher Development - Innovations. Vitae Connections slide 1

Tomorrow's Researchers

Matthew DoveyJisc Technologies

[email protected]

Skills Needed to Adapt to the Future Demands of Digital Research

Digital Roles of the Future Researcher


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Information

Manager

DataManager

Technologist

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Information Manager


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SCONUL Seven Pillars of Literacy


Insights into Researcher Development - Innovations. Vitae Connections

Researchers of Tomorrow StudyEducation for Change, together with The Research Partnership, was commissioned by the British Library and JISC to undertake a ground-breaking study on the research behaviour of the 'Generation Y' scholar

The study spent three years tracking the information-seeking behaviour of doctoral students born between 1982 - 1994; analysed their habits in online and physical research environments and assessed how they used library and information sources, both on and off line

Over 17,000 doctoral students from more than 70 higher education institutions participated in the three annual surveys, which were complemented by a longitudinal student cohort study.

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http://explorationforchange.net/index.php/rot-home.html





Key FindingsDoctoral students are increasingly reliant on secondary research resources (e.g. journal articles, books), moving away from primary materials (e.g. primary archival material and large datasets).

Access to relevant resources is a major constraint for doctoral students’ progress. Authentication access and licence limitations to subscription-based resources, such as e-journals, are particularly problematic.

Open access and copyright appear to be a source of confusion for Generation Y doctoral students, rather than encouraging innovation and collaborative research.

This generation of doctoral students operate in an environment where their research behaviour does not use the full potential of innovative technology.

Doctoral students are insufficiently trained or informed to be able to fully embrace the latest opportunities in the digital information environment.

Key Barriers

»Time Constraints - finding electronic research and getting hold of relevant resources

»Doctoral students believe that they are insufficiently trained or informed to enable them to embrace the latest opportunities

»Low awareness and understanding of intellectual property and copyright and open access

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Data Manager\Data Scientist


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Royal Society - Science as an Open Enterprise Report, 2012

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• ‘how the conduct and communication of science needs to adapt to this new era of information technology’.

• ‘As a first step towards this intelligent openness, data that underpin a journal article should be made concurrently available in an accessible database.

• We are now on the brink of an achievable aim: for all science literature to be online, for all of the data to be online and for the two to be interoperable.’

http://royalsociety.org/policy/projects/science-public-enterprise/report/




G8 Science Ministers Statement London UK, 12 June 2013

»To the greatest extent and with the fewest constraints possible publicly funded scientific research data should be open, while at the same time respecting concerns in relation to privacy, safety, security and commercial interests, whilst acknowledging the legitimate concerns of private partners.

»Open scientific research data should be easily discoverable, accessible, assessable, intelligible, useable, and wherever possible interoperable to specific quality standards.

»To maximise the value that can be realised from data, the mechanisms for delivering open scientific research data should be efficient and cost effective, and consistent with the potential benefits.

»To ensure successful adoption by scientific communities, open scientific research data principles will need to be underpinned by an appropriate policy environment, including recognition of researchers fulfilling these principles, and appropriate digital infrastructure.

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Open Scientific Research Data

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EU Digital ERAOptimal circulation, access to and transfer of scientific knowledge

COMMUNICATION FROM THE COMMISSION TO THE EUROPEAN PARLIAMENT, THE COUNCIL, THE EUROPEAN ECONOMIC AND SOCIAL COMMITTEE AND THE COMMITTEE OF THE REGIONS - A Reinforced European Research Area Partnership for Excellence and Growth. 17 July 2012.

Pilot on Open Research Data in H2020»Areas of the 2014-2015 Work Programme participating in the Open Research Data Pilot are:

› Future and Emerging Technologies

› Research infrastructures – part e-Infrastructures

› Leadership in enabling and industrial technologies – Information and Communication Technologies

› Societal Challenge: Secure, Clean and Efficient Energy – part Smart cities and communities

› Societal Challenge: Climate Action, Environment, Resource Efficiency and Raw materials – except raw materials

› Societal Challenge: Europe in a changing world – inclusive, innovative and reflective Societies

› Science with and for Society

› Projects in other areas can participate on a voluntary basis.

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Data as New Output of Research

‘technology has enabled data to become the prevalent material and currency of research. Data, not information, not publications,

is rapidly becoming the accepted deliverable of research.’

Graham Pryor, Observations on the RLUK Reskilling for Research Report

http://www.dpconline.org/newsroom/whats-new/842-whats-new-issue-44-april-2012

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Why Research Data Management?

•Research Excellence & Impact – data will be cited; used by others including peers, other disciplines, the public, industry, in learning – ability to meet global challenges; innovate & create new research areas.

•Research integrity - replication, verification of research, improvement of methods & results.

•Efficiency - save duplication of research effort, data creation & therefore costs; ease of access & re-use.

•Managing risks – ability to meet FOI requests; protect reputation.

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DUDs

The data centre under

the desk (or in a back pack) is not adequate.

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Access andID management

Standards; policies;

coordination &

cooperation.EASY ACCESS

Skills &

train

ing

Data

sharing and

Discovery

Data

storage &

archiving

Rese

arch

data

man

agem

ent

plan

ning

Data identifiers

Access & security

Researcher/organisational identifiers

Funders policies

Deposit protocols

and infrastructur

e

Advice & guidance/goo

d practiceR@R:

Support take up

of citation

R@R:UK Research Data

Discovery

metadata

R@R: metrics & usage data

service

DMP OnLine

R@R: DMP

registry

Cardio planning

tool

R@R: RD Spring prototypes

UKDS/Institutional repositories

R@R: shared PreservationRepositories (metadata)

Digital Curation Centre

Open Training

Materials in Jorum

Shared data centre

R@R: comprehensive

tool-kit; case studies

Sherpa Juliet Funder policies

R@R: Journal Policy

registry

R@R: EPSRC suppor

t

R@R: business case & costs

R@R: RD Spring

Prototypes, &BRISSkit

Janet network Cloud andHPC brokerage

Jisc Research Data Infrastructure

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Need for Training in RDM and Data Skills

‘data skills should be made a core academic competency’

‘data handling [should be] embedded in the curriculum’

‘There is a need to go beyond the workshop and the short training course, and embed preparation for a professional (and personal) lifetime of digital data

curation within the academic curriculum.’

Graham Pryor and Martin Donnelly (2009), ‘Skilling up to do data: whose role, whose responsibility, whose career? IJDC, Issue 2, Volume 4, pp.158-

170.

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“When you go and look at what scientists are doing, day in and day out, in terms of data analysis, it is truly dreadful. We are embarrassed by our data!”

Jim Gray, Microsoft

»So what are the priorities?

› 1. Ensuring scientifically valid processing

› 2. Innovative manipulation to create new information

› 3. Effective management of research data

“There is a serious issue of education, training and support at undergraduate, doctoral and post-doctoral levels”

Geoffrey Boulton (University of Edinburgh)

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“Its not just curation, retrieving and integrating data – its also what we do with it!”

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Big Data

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Technologist


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Holistic Research

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Result

DataSoftware

Value Transition

'Software is the Modern Language of Science‘Ed Seidel, NSF


“It is important to place a higher value upon the position of “scientific programmer” and also “data scientist” in the academic environment and to offer more career opportunities to these staff. Scientific programmers combine the knowledge of the …discipline with implementation, optimisation and parallelisation for high end systems: they are important in obtaining highly efficient application implementations. Scientists outside the domains of engineering and the physical sciences are particularly unlikely to have been exposed to the necessary skills, and will need special mentoring if they are to make the most of the opportunities offered by e-Science.”

e-Infrastructure vision for the UK, DBIS, 2012

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22http://www.jisc.ac.uk/publications/briefingpapers/2011/bpsupportingresearchers.aspx




EU Workshops Overviewslide 25

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11-12 March 2013

Corpus Christi College, Oxford, UK

14-15 July 2014

EGI.eu, Amsterdam, The Netherlands

.

• Agenda covered current and future activities among member EU states toward recognising research technologists and the coordination and support that delegates felt was needed from the EU

• Discussed current activities across Europe• Highlighted what has been achieved on the road to recognition

of research technologists, what has worked and what has not worked in member states

• Discussed future activities in the areas of Advocacy, Embedding and Training and identified in work already undertaken

• Discussed roles of Data Scientist, Research Software Engineer etc.

• Recommendations fed into H2020 INFRASUPP-4 Work Programme


Institutional and funding

council structures and

policies

ICT facilities and associated

support

Training researchers

Transforming or making available research outputs

Creating technology

Creating innovation

Developing software

Using tools and e-infrastructure

Data curation and

management

Services and solutions

RESEARCH

“Skills Wheel”

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policies


support



Creating technology

Creating innovation

Developing software


Data curation and

management


RESEARCH

Researcher

“Researcher”

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policies


support



Creating technology

Creating innovation

Developing software


Data curation and

management


RESEARCH

ICT CapableResearcher

“ICT-skilledResearcher”

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policies


support



Creating technology

Creating innovation

Developing software


Data curation and

management


RESEARCH

Specialist Support

“IT Support”

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policies


support



Creating technology

Creating innovation

Developing software


Data curation and

management


RESEARCH

Research Technologist

Support & Knowledge Transfer

“Research Technologist”

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PR Manager


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Research has a cast list

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Career of the Future: Data Scientist Study Results InfographicEMC2 : http://www.emc.com/microsites/bigdata/infographic.htm


“Scientific fraud is rife: it's time to stand up for good science”

“Science is broken” Examples:

psychology academics making up data,

anaesthesiologist Yoshitaka Fujii with 172 faked articles

Nature - rise in biomedical retraction rates overtakes rise in published papers

This week,

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“economists have been astonished to find that a famous academic paper often used to make the case for austerity cuts contains major errors. Another surprise is that the mistakes, by two eminent Harvard professors, were spotted by a student doing his homework”

http://www.bbc.co.uk/news/magazine-22223190


Public ParticipationTim Gowers - crowd-sourced mathematics An unsolved problem posed on his blog. 32 days – 27 people – 800 substantive contributions Emerging contributions rapidly developed or discarded Problem solved! “Its like driving a car whilst normal research is like pushing it”

Citizen ScienceGalaxy Zoo: Hubble

Solar Storm Watch

Old Weather

Whale FM

Ancient Lives

Fold It (creating protein molecules)

SETI (extra terrestrial intelligence)

Etc.

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The Open Digital World is Highly VisiblePublic Engagement with Science

»Citizen Science

»Public Critique

› “Climate-gate”

› Tree rings data

»Scrutiny of public funding

Persistence of Digital Footprint

»Social network embarrassments

»Working in the public eye

»Digital information cannot easily be revoked

Need for skills for conduct and communication with the general public not just peers

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Digital Roles of the Future Researcher


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Gateway for Higher EducationThe G4HE project aims to engage with the BIS-funded RCUK Gateway to Research (GtR) initiative to improve the information exchange between HEIs and the Research Councils. The project will develop tools and interfaces to allow both human and machine access to data held on GtR, and elsewhere where that is required. The tools and interfaces will be based on validated use-cases shown to have specific and demonstrable value to HEIs, and will be subject to robust assurance on both quality and sustainability criteria. The use cases will be used to prioritise which data improvements should be addressed and what value this delivers for universities.

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Jisc Futures Co-design

»In 2010 we defined digital literacies as: those capabilities which fit someone for living, learning and working in a digital society

»It’s a much-disputed term, but the concept struck a chord in the sector, especially from 2012-13 onwards

»Now in 2014 we’re being asked to address ‘digital capability’ in the HE and FE sectors as a priority challenge

Building Digital Capability


Building digital capability»Need emerged from sector consultation

»Running mid-2014 to end 2015

»Covers a wide range of roles, including researchers

»Building on the work of the Jisc developing digital literacies programme, which Vitae participated in

»Digital capability framework will be pulled together in collaboration with bodies like Vitae, building on existing frameworks such as the RDF and others in the research space

»Diagnostic tools will include those for researcher skills – simple example at http://bit.ly/researcherquiz

»Staff-student partnerships can be particularly effective with research students

»Find out more at http://digitalcapability.jiscinvolve.org/

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http://bit.ly/researcherquiz

http://bit.ly/researcherquiz

http://digitalcapability.jiscinvolve.org/


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Digital capabilit

y framewo

rk

Diagnostic tools

Leadership developme

nt

MOOC

Staff-student

partnerships

Underpinning layer

Models and examples of

impact assessment

Stakeholder engagement

Presentation layer (toolkit, resources and

guidance)


© Jisc 2014

Jisc permits reuse of this presentation and its contents under the terms of the Creative Commons Attribution-Non-Commercial-No Derivative Works 2.0 UK England & Wales Licence.

http://creativecommons.org/licenses/by-nc-nd/2.0/uk

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