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OpenAIRE OpenAIREplus: an overview of activities – Najla Rettberg
1. OpenAIREplus – Overview of Activities
Copenhagen, June 11 2012, Najla Rettberg, OpenAIRE,
University of Göttingen,
2. Welcome to Workshop #1
Thanks to Nordbib!
First of 4 Workshops
2. Interoperability – Portugal - Jan 2013
3. Linking Research – Belgium - May 2013
4. Legal, Sustainability – Lithuania - Late 2013
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3. Opening up Science
„Sharing Data and having the forum to openly
use and build on what is shared, are essential
to science“
Neelie Kroes Vice President for EC Responsible for Digital
Agenda, Rome,2012
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4. Why a focus on Data Policy?
Data is key part of Research Landscape
OpenAIREplus: Links OA Publications to Data
OpenAIRE Community has to be aware
Understanding of Data Management and Policy
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5. Today we will Learn about…
OpenAIREplus
Data Landscape
‚Enhanced Publications‘
Publishing Data
Policy
–
–
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Institutional
Funders
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6. What is OpenAIRE?
2009 – 2012, 27 countries
EC Open Access Pilot, Mandate, SC39
OA Publication Infrastructure
Measure Impact of FP7
Services
Open Access repositories
FP7 Project
Information
7. OpenAIREplus = Phase 2
Dec, 2011, 2.5 yrs, 33 countries
Building on OpenAIRE
Linking OA publications to datasets
Linking to Funding, outside FP7
Service for Users
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11. The main Parts of the Project
Technical
• Building up the infrastructure
• Linking publication and data
Outreach
• Promote the service
• Engage Users
Service
• Functionalities for users
• Support, statistics, usage
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13. What Data are we Gathering?
CRIS, (CERIF)
Projects/Funding
Studies
Licenses
EC, National
Metadata
Publications
(metadata)
DRIVER,
OpenAIRE
(Text)
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Datasets
(metadata)
Guidelines for Data Providers
OpenAIRE Guidelines
Data
Repositories
14. Cross-Discipline Infrastucture
“..any roadmap for OA infrastructure must
address this natural tension between diversity
and infrastructure”
Meier zu Verl, & Horstmann (Eds.) 2011. Studies on Subject-Specific Requirements for
Open Access Infrastructure.
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15. Protypes of Enhanced Publications
Data types, citation, metadata, usage
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17. Supporting OA in Europe
Network of EU Open Access Knowledge
Champion Open Access
Helpdesk
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Reach out to:
Users, Researchers, Collaborate
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3
1
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18. Data Survey
25 Respondants out of 33
Do you have an Institutional Repository
Do you have a data policy at Institutional level
Do you have a data policy at Funding level
Need for awareness
Identify repositories, initiatives
Compare Results
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#
%
4
16
4
16
6
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19. Training
Identify Training Needs: Researchers, Librarians
Pilot Training Event with Life Scientists
–
–
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Q: Impact of Data Citations?
Q: Different licensing schemes for different
data?
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20. But….Issues Raised
Sharing data? No thanks. Maybe Later.
‚Powerless‘ to achieve open access
Relevance for Researchers?
Win the ‚Hearts and Minds‘ of Researchers
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21. An Eye on Research Practice
“Forget PDFs, imagine an ideal publication
where you click on tables to get through to raw
data, where you can… discuss …and later update
…a paper in subsequent versions. The latter is
similar to Wikipedia, actually.”
–
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PhD Student, UGOE
22. Who is this Relevant for?
FUNDER
POLICY MAKER
PUBLISHER
REPOSITORY MANAGER
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25. Services for Users
User:
–
Search, Access Statistics
–
Deposit Files and Metadata
Publications and Datasets into Orphan Repository
–
Create/Infer to links between Objects
Information in Context
RDM Workshop
28. Data Management Policies
„For open access repositories, technology and
infrastructure preceeded policy. First impressions
are that for data repositories this will be the other
way around“
Steve Hitchcock
30.5.12, Datapool.soton.ac.uk
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29. Now to Data and Policy
Remember: Linking to Data Repositories
Understand Data and Linking
Examples of Policies
Breakout:
–
–
Data Policy - Funders‘ perspective
–
Publishers and researchers
–
Technical
–
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Data Policy – Institutional
General
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31. Credits
CC BY-SA 2.0 LittleBiGsis,
source:http://www.flickr.com/photos/69842277@N00/226854249/
CC BY-SA 2.0 rdecom source:
http://www.flickr.com/photos/rdecom/7336830168/sizes/z/in/photostream/
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32. What is Data?
Research data: factual records, which may take the
form of numbers, symbols, text, images or
sounds…that are commonly accepted in the research
community as necessary to validate research findings
Robello, R, Griffith University, ANDS Guide, 2012
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