This presentation was given at the final conference of the LEARN project, www.learn-rdm.eu

1. Prof. Dr. Eva Méndez
Research Data in an Open Science World:
Reflections from an Young EU University
emendez@bib.uc3m.es
@evamen
London, May 5, 2017

2. EU- OSPP Researcher
Librarian
RPO - University
Project
cheerleader

3. 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

4. Eva Méndez Research Data in an Open Science World: Reflections from an Young EU University
Outline
 Open Science World: Convincing policies
(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
 Reflections Managing the Data Deluge: roles
and responsibilities for your institution
[with academic hat]

5. The way we do Science is changing because…
• Demand for accountable, responsive and
transparent science (PSI).
• Need to address faster societal
challenges, and to contribute to
economic growth.
The systemic change in the modus operandi of
science and research…
• Exponential growth of data.
• Availability of digital technologies.
• Increase of the global scientific
population.
• Public demand for better and more
efficient science.
• Exponential growth of data.
• Availability of digital technologies.
• Increase of the global scientific
population.
• Public demand for better and more
efficient science.
Image appeared at The Economist (March, 2010)

6. Eva Méndez Research Data in an Open Science World: Reflections from an Young EU University© Flickr user 지우 황
Ivo Grigorov (TUD)

7. Eva Méndez Research Data in an Open Science World: Reflections from an Young EU University

8. Eva Méndez Research Data in an Open Science World: Reflections from an Young EU University
This picture is “in evolution” keep tuned @evamen

9. Eva Méndez Research Data in an Open Science World: Reflections from an Young EU University
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

10. Eva Méndez Research Data in an Open Science World: Reflections from an Young EU University
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
+
Reliable
Reproducible
https://blogs.openaire.eu/?p=1485

11. Eva Méndez Research Data in an Open Science World: Reflections from an Young EU University
(Open) Research Data “mantra”
Why?
How?
Who?

12. • How does it affect our
researchers?  Promotion,
research assessment,
almetrics…
• How does it affect our
research infrastructures?
New ones?
• How does it affect our
T&Learning?  Data
literacies?
• New scientific behavior 
Transparency
FAIR DATA: Why?
Roles and
responsibilities for
my institution

13. Eva Méndez Research Data in an Open Science World: Reflections from an Young EU University
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?

14. Eva Méndez Research Data in an Open Science World: Reflections from an Young EU University
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?

15. Eva Méndez Research Data in an Open Science World: Reflections from an Young EU University
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
By Eva Méndez, Schipol Airport, Nov 2016

16. Eva Méndez Research Data in an Open Science World: Reflections from an Young EU University
FAIR data: how? (infrastructures)

17. Eva Méndez Research Data in an Open Science World: Reflections from an Young EU University
Infrastructures: CONNECT!!!
UC3M Expert finder

18. Lead users… Scientific communities …long tail
Scaleofscientificactivity(data-drivenscience)
Humanities Citizen science
European
Open Science Cloud
Lifesciences
Physics
Earthsciences
Economics
Social
sciences
Applied-engineering
……
Scientific Landscape for
Research Data…
One size does not feet all!!!
FAIR data: How?
Slide based in Burgelman

20. Roles and
responsibilities for
my institution
Image from: http://www.pasteur4oa.eu/sites/pasteur4oa/files/generic/IMG_4448.jpg by:

21. Eva Méndez Research Data in an Open Science World: Reflections from an Young EU University
Slide taken from: B. Mons (2016)  Geoffrey Boulton’s first adaptation of the Eric Meyer
et al. image was in http://www.science-international.org/#accord and a further version
appear in LEARN toolkit, 2017 https://doi.org/10.14324/000.learn.12

22. Eva Méndez Research Data in an Open Science World: Reflections from an Young EU University
“Motivators of Will”
Challenge: how to incentivize the systemic
change in our universities ?
SEDUCTION!!

23. Eva Méndez Research Data in an Open Science World: Reflections from an Young EU University
Some ideas to make it possible…
 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: ECR
deposit the underlying datasets of the
thesis, master papers, etc.
“The best is enemy of the good”

24. http://databib.org
Thank you!!
Prof. Dr. Eva Méndez emendez@bib.uc3m.es
@evamen