Opening Research Data in EU Universities: Policies, Motivators and Challenges

Prof. Dr. Eva Méndez

Opening research data in EU universities:

Policies, motivators and challenges

[email protected]

@evamen

Barcelona 26 January 2017

mailto:[email protected]

Eva Méndez Opening research data in EU universities: Policies, motivators and challenges

Outline & objectives

Policies and motivators

Convincing EU policies in Open Science

(Open Research Data)

Challenges!!! (RDM/RDS)

Research Data in the challenging Open Science

Framework

Research Data in the challenging Open Data

Framework (PSI)

Research Data in the challenging Data Science

Framework

Challenges for Universities and other RPOs:

Ideas and reflections

The way we do Science is changing because…

• Exponential growth of data.

• Availability of digital technologies.

• Increase of the global scientific

population.

• Public demand for better and more

efficient science.

• Demand for accountable,

responsive and transparent

science (PSI).

• Need to address faster societal

challenges, and to contribute to

economic growth.

The context…


Open Science: Here we are!

A systemic change in the

modus operandi of science

and research

Affecting the whole

research cycle and its

stakeholders

Commissioner Carlos Moedas

Open Science Presidency Conference



Research data: open by default

Horizon 2020 grantees are required to:

Deposit underlying research data (and their metadata)

Take measures to grant open access to this research data

Horizon 2020 grantees are encouraged to share datasets

beyond publication

FAIR data

+ more Rs

Reliable

Reproducible


(Open) Research Data “mantra”

Why?

How?

Who?

• How does it affect our

researchers? Promotion,

research assessment,

almetrics…


research infrastructures?

New ones?


T&Learning? Data

literacies?

• New scientific behavior

Transparency

FAIR DATA: Why?

Should I

share my

data?


FAIR data: Why?

Cartoon by Auke Herrema

Magazine

“…Open access to scientific

results and data is a great way

to boost science, boost the

economy, and enable new

techniques and collaborations

between disciplines.

Really it's quite simple: it's about

ensuring you can see the results

you've already paid for

through your taxes….”

(Nelie Kroes)


Barriers to share research data

9%

9%

12%

12%

17%

17%

18%

26%

30%

Insufficient skills

Should not be available

no place to put data

Lack of standards

Do not need data

Lack of funding

I don’t have rights

Insufficient time

I need to publish

Tenopir, et al (2015).

Changes in Data Sharing and Data Reuse Practices and Perceptions among Scientists

Worldwide http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0134826

FAIR data: Why?

http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0134826

http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0134826


Barriers to share research data

1. Users do not understand the data

(semantic, formats, etc.)

2. Lack of software, hardware or

sustainable support

3. No clear data authenticity

4. Restrictions of access and use (IP issues)

5. Lack of skills to find the data

6. Current curation in a project could stop

in the future

7. Loss of confidence in the staff in charge

of the data curation

Ferrer-Sapena, Aleixandre-Benavent (2016).

La opinión y los hábitos de los investigadores sobre los datos de investigación:

http://bd.ub.edu/grups/ccd/seminari_maredata

FAIR data: Why?




FAIR data: How? (policies)

http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf












FAIR data: how? (infratructure)


Lead users… Scientific communities …long tail

Sca

le o

f sci

enti

fic

act

ivit

y (

da

ta-d

rive

n s

cien

ce)

Humanities Citizen science

European

Open Science Cloud

Life

sci

ence

s

Ph

ysic

s

Ea

rth

sci

en

ces

Eco

no

mic

s

So

cia

l

scie

nce

s

Ap

pli

ed -

en

gin

eeri

ng

… …

Scientific Landscape for Research Data… One size does not feet all!!!

FAIR data: How?

EOSC Image from the children’s story by Maurice Sendak

https://en.wikipedia.org/wiki/Where_the_Wild_Things_Are




A Cloud on the H2020 Horizon (final draft) http://www.bluebridge-vres.eu/sites/default/files/HLEG%20EOSC%20first%20Report%20%28draft%29.pdf

Imagine a federated, globally

accessible environment where

researchers, innovators, companies

and citizens can publish, find and re-

use each other's data and tools for

research, innovation and educational

purposes ...

This we believe encapsulates the

concept of the European Open

Science Cloud (EOSC), and indeed

such a federated European

endeavor might be expressed as the

European contribution to a Internet

of FAIR Data and services.

“The European Open Science Cloud is a supporting environment for

Open science and not an ‘open cloud’ for science”

http://www.bluebridge-vres.eu/sites/default/files/HLEG EOSC first Report (draft).pdf




From: B. Mons (2016)


“Motivators of Will”

Challenge: how to incentivize the systemic change in our universities

SEDUCTION!!


On the way to Open Research Data Policy: Ideas and strategies

Embrance international/EU policies

Infrastructures: (COOPERATE)

Include Open Research Data in the

institutional policy (MANDATE-LAW)

Reward with economic incentives

(internal rewarding system) (MONEY)

Datathons, Prices (RANKING)

Work in the mindset change: early

career researchers deposit the

underlying datasets of the thesis,

master papers, etc.

“The best is enemy of the good”


And you? What are you going to do?

Introduction video Conference Open Science 4- 5 April 2016, Dutch

Presidency EU2016: https://www.youtube.com/watch?v=C9a3Ap3yyak

https://www.youtube.com/watch?v=C9a3Ap3yyak



http://databib.org

Thank you!!

Prof. Dr. Eva Méndez [email protected]

@evamen

mailto:[email protected]

Education

Opening Research Data in EU Universities: Policies, Motivators and Challenges