The Data Deluge: the Role of Research Organisations in a Brave New World by Dr Paul Ayris, UCL

UCL LIBRARY SERVICES

The Data Deluge: the Role of

Research Organisations in

a Brave New World

Dr Paul Ayris

Director of UCL Library Services and UCL Copyright Officer

Chief Executive, UCL Press

Co-Chair of the LERU community of Chief Information Officers

Adviser to the LIBER Board

e-mail: [email protected]


Content

Data Deluge

Open Science

LEARN

Exemplar issues

LEARN Survey

Role for Research Funding

Agencies

European Open Science

Cloud

Conclusions

2

Plaster Relief by John Flaxman,

Flaxman Gallery, UCL


Content

Data Deluge

Open Science

LEARN

Exemplar issues

LEARN Survey


Agencies


Cloud

Conclusions

3




4

The internet

has 1800

exabytes of

data in 2011

exa = 10^18

Steven Vale

[email protected]

UN Economic Commission for Europe


5

50,000 exabytes by 2020

We live in

exponential

times!

27 fold

growth in

the next

9 years


Content

Data Deluge

Open Science

LEARN

Exemplar issues

LEARN Survey


Agencies


Cloud

Conclusions

6




What is Open Science?

Open Science is the movement to make scientific research, data and dissemination accessible at all levels of an enquiring society

7


8

Data Gathering

Analysis

Publication

Review

Conceptualization

Citizen Science Open code Pre-print

Open Access Alternative Reputation Systems

Collaborative Bibliographies Science Blogs

Open Annotation Open Data

Open Lab Books/Workflows Data Intensive

Research Cycle

Characteristics

Open Science a paradigm shift in the modus

operandi of research and

science impacting the entire

scientific process


% Agreement for Policy actions (abbrev.)

9

Question/Issue Need to

Intervene

Y

Need to

Intervene

N

Req’d

Action

Y

Req’d

Action

N

EU

Action

Y

EU

Action

N

Foster Open

Science – raise

awareness

52% 4% 48% 4% 19% 4%

Traditional Metrics

do not capture Open

Science

22% 7% 22% 7% 4% 7%

Develop research

infrastructures

56% 4% 11% 4% 48% 4%

OA to publications

and data

63% 11% 33% 26% 26% 11%

The most significant total

in the Validation exercise

Not much interest in any

intervention


Content

Data Deluge

Open Science

LEARN

Exemplar issues

LEARN Survey


Agencies


Cloud

Conclusions

10




LERU Roadmap for Research Data

Overseen by Research Data

Working Group

Pablo Achard (University of Geneva)

Paul Ayris (UCL, University College London)

Serge Fdida (UPMC, Paris)

Stefan Gradmann (University of Leuven)

Wolfram Horstmann (University of Oxford)

Ignasi Labastida (University of Barcelona)

Liz Lyon (University of Bath)

Katrien Maes (LERU)

Susan Reilly (LIBER)

Anja Smit (University of Utrecht)


• Identifies how policy development and leadership are undertaken

Policy and Leadership

• Who undertakes advocacy and what is the message?

Advocacy

• Technical Issues around collection and curation

Selection, Collection, Curation, Description, Citation, Legal Issues

• Where is it stored and by whom?

Research Data Infrastructure

• How much does it cost?

Costs

• What skills are required by which communities?

Roles, Responsibilities, Skills

• Who does what?

Recommendations to different stakeholder groups

12 http://en.wikipedia.org/wiki/File:DNA_orbit_animated.gif

http://en.wikipedia.org/wiki/File:DNA_orbit_animated.gif

http://en.wikipedia.org/wiki/File:DNA_orbit_animated.gif


Key Messages

Each LERU university

needs a Research Data

Management Strategy

Researchers should have

Research Data

Management Plans

LERU universities need to

bring stakeholders together

Benefits of ‘open data’ for

sharing and re-use should

be advocated and explored

A Box of Useful Knowledge

(Brougham Papers, UCL Library Services)


LEARN – LEaders Activating Research

Networks

Purpose is to develop the

LERU Roadmap for

Research Data to build a

global co-ordinated global

e-infrastructure

Outputs

Model Research Data

Management policy

Toolkit to support

implementation

Executive Briefing in five

core languages so as to

ensure wide outreach 14

http://www.uzh.ch/research/LERU_Roadmap_for_Research_data.pdf

http://www.uzh.ch/research/LERU_Roadmap_for_Research_data.pdf


LEARN

5 partners

UCL (University College

London) – lead partner

University of Barcelona

University of Vienna

LIBER

ECLAC – UN Commission

for Latin America and the

Caribbean

Started in June 2015; runs

for 24 months

€497,000 budget

100% funded 15

Wilkins Building, UCL, 1826


LEARN Deliverables

Model Research Data

Management Policy

Fed by a study of RDM

policies and input from

Workshop attenders

Toolkit to support

implementation

Issues identified in

Workshops and in

literature

Survey and self

assessment tools

Executive Briefing (in

several languages) 16

Wilkins Building, UCL, 1826

In Latin America & the Caribbean

Raising awareness around

Research Data Management

Developing global solutions

Supporting the researcher

and Citizen Scientist

anywhere

Advocating for new skills

development


Content

Data Deluge

Open Science

LEARN

Exemplar issues

LEARN Survey


Agencies


Cloud

Conclusions

17




Based on issues raised in

the LERU Roadmap

13 questions based on how

to establish an Research

Data Management

Strategy

Traffic Lights reveal level of

preparation

Institutional or Personal level

18 LEARN RDM Survey

learn-rdm.eu


19

Yes

• 37

• 31%

Working Towards

• 30

• 26%

No

• 51

• 43%

Does your institution

have a research data

policy?

ALL ANSWERS


20

Yes

• 0

• 0%

Working Towards

• 11

• 42%

No

• 15

• 58%


have a research data

policy?

LATIN AMERICA


21

Yes

• 43

• 37%

Working Towards

• 30

• 25%

No

• 45

• 38%


have dedicated

research data

governance?

ALL ANSWERS


22

Yes

• 5

• 19%

Working Towards

• 9

• 35%

No

• 12

• 46%


have dedicated

research data

governance?

LATIN AMERICA


Research Funder policies

UCL has tracked 15

global funder

policies

Research funders

can set direction for

Open Science

Funders have led

movement towards

Open Access

They should now do

the same for

research data

23

Funder policy requirements

Funders Policy

AHRC Research Funding guide

BBSRC Data Sharing policy

Gates

Foundation

Open Access Policy

CRUK Data Sharing &

Preservation Policy

DFID Open and Enhanced

Access Policy

EC Horizon

2020 a&

ERC

Guidance on Publications

and Research Data

http://www.ucl.ac.uk/library/research-support/research-data/policies/research-councils


What should research funders ask for?

Require Research Data

Management Policies in

institutions

Require Data

Management Plans from

individual researchers

Require that the default

position for research

data is that it should be

Open

24


Funder Policy

EPSRC Policy Framework on

Research Data

ESRC Research Data Policy

MRC Data Sharing Policy

NERC Data Policy

NIH Data Sharing Policy

Royal

Society

Conditions of Awards



What should research funders ask for?

Require Research Data

Management Policies in

institutions

Monitor researchers’

compliance with their

requirements

Fund infrastructure -

like the UK Data Archive

25


Funder Policy

STFC Scientific Data Policy

UK

Department

of Health

NHS Information

Governance

Wellcome

Trust

Policy on Data Management

and Sharing



Content

Data Deluge

Open Science

LEARN

Exemplar issues

LEARN Survey


Agencies


Cloud

Conclusions

26




European Open Science Cloud

EU High Level Expert

Group Report

Launched on 11 October

2016

Issues considered:

Infrastructures

Skills development

Reward and Recognition

Roles and responsibilities

Governance & Standards

Funding opportunities

Available here

27

http://ec.europa.eu/research/openscience/index.cfm?pg=open-science-cloud


European Open Science Cloud

Headline points:

Build on existing infrastructure

and expertise

Devise Rules of Engagement

EU contribution to FAIR data

and Open Science

Build links to regional Cloud(s)

in Latin America & Caribbean

Develop expertise

Half a million ‘core data

scientists’ in Europe

5% of total research spend

should be on data

stewardship 28

King’s Cross Station, London


Content

Data Deluge

Open Science

LEARN

Exemplar issues

LEARN Survey


Agencies


Cloud

Conclusions

29




Conclusions

Data-driven research

changing the way

research is undertaken

Global movement for

Open Science

LEARN will provide

Model RDM policy

Exemplar case studies

Executive Briefings

LEARN will help deliver

support infrastructure for

data-driven Science

Happy to hear questions

Education

The Data Deluge: the Role of Research Organisations in a Brave New World by Dr Paul Ayris, UCL