collaborate to share

LIBER:

Collaborate to ShareRDA Florence, 14 November, 2016

Susan Reilly, Executive Director, LIBER

Overview

Open data in the LIBER vision Benefits of open data• FAIR data• Supporting FAIR Data

LIBER is Europe’s largest research library network…

Mission

Enable world class research…= Collaborative

– Growth in collaboration from 13% (2003)- 17% (2011)= International

– 40% of French & German research outputs a result of international collaboration

– Rate of citation grows as geographic extent of collaboration increases

=Interdisciplinary– Foundation of frontiers research

=Data intensive• supports interdisciplinary exploration

… and open

2022

Libraries powering sustainable knowledge in the digital age…

Vision

Vision• Open Access is the default• Research data is FAIR• Digital skills underpin open, transparent

research lifecycle • Research infra is participatory and

tailored to different disciplines• Cutural heritage build on today’s digital

info

2022

Knowledge as a Public Good Non rivalrous

-sharing it doesn’t deplete it as a resource Non excludable

-it’s impossible stop the supply of knowledge Copyright reconises this by only exerting

control over the “expression of an idea” not the idea itself

In the digital age data can be infinately accessible

Benefits of Open Data

For societySolves global challenges e.g. hunger, pollution

For researchers:Data re-use, avoiding costly duplicationData re-use,facilitate complex interdisciplinary enquiryValidation of results – quality control

For policy: Inform decision making

For industry:In development of new products & services

Fake data!

Barriers

Cultural differences Definition of research data Lack of skills/education Poorly defined roles and responsibilities Lack of infrastructure Lack of career incentives

European Member States Commitment

All member states to transition towards Open Science (council conclusion May 2016)

Open access the default by 2020 Research data from publically funded projects

a public good Data management standard scientific practice DMPs obilgatory Follow FAIR principles

EU Horizon 2020 Mandates Open Access Mandatory (2015) Open Data Pilot (7 funding areas, 2015) Open Data pilot extended to all funding

areas from 2017

H2020 Open Data Pilot

Opt out at any stage (1/3 opted out so far) All research data, including metadata, needed

to validate the results in a peer-reviewed publication

Other curated or raw data, and its associated metadata, specified in the DMP even if it did not result in a publication

Documentation, software, hardware or tools required to enable reuse of the data

DMP obilgatory

http://knowledgebase.e-irg.eu/documents/243153/246094/E-infrastructures+-+making+Europe+the+best+place+for+research+and+innovation.pdf

The European Open Science Cloud

A virtual environment to store and process large volumes of information

http://libereurope.eu/blog/2015/11/04/an-open-and-community-driven-open-science-cloud

The Challenge

Research data are the evidence that underpins the answer to the research question, and can be

used to validate findings regardless of its form…

Research Data is…

ODE data publication pyramid

Research Data is…

Findable Metadata Persistent identifiers Indexed in a searchable resource

Accessible (openly) Open and standardised communication protocols

Interoperable Shared language for knowledge representation

Reusable Clear provenance and licences Detailed provenance

Supporting FAIR Data

• Active– Offering and planning RDS service– Consultative (Discussion e.g. metadata, policy,

training, outreach)– 38% provide tech support

• On the horizon – 42% plannig tech support– 48% planning ID support– 43% planning metadata services– West and north more involved in discussions

Findable…Data management planning support (46%)IdentifiersSupport for citation and finding datasetsIdentification of datasets for repositories

Accessible…Consulting on data standards and methodsPreparing datasets for deposit 25%Web guidesData storage 78%

Interoperable…Consulting on data standards and methods

(44%)Partnering with researchers (32%)ID DatasetsCollaborating with disciplinary departmentsCollaborting with other institutions and infra

Reusable…Policy development and planning (66%)Gudiance and training e.g. re copyright (54%)Tools for data analysis (23%)

Regional differences in consultative RDS availability

Regional differences in technical RDS availability

Why collaborate?

• No one size fits all approach (work across disciplines)

• Need to work across services (libraries, IT, research)

• Need to work across infrastructures• Potential for interdiciplinary research• Shared responsibility!

Ways to collaborate• Get involved in the RDA

– Libraries in RDM Interest Group– Repositories Interest Group– …start a group!– Start a discussion

Roadmap RDM!Roadmap RDM! Policies Costs Infrastructure Skills Advocacy and engagement

Barcelona, 26 Jan 2017!http://learn-rdm.eu/

Self assessmentDialogueRDM Templates

ARE YOU WITH US? www.libereurope.eu@skreilly

Thank you!