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Transcript of 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