1. Open Science: is the Research Data Alliance a help or a hindrance?
14th May 2019
Hilary Hanahoe, Secretary General, Research Data Alliance

2. Open Science Collaborative and collective work
Accessible scientific research
Accessible knowledge
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3. Ambitious … but not impossible
The RDA Vision
Researchers and innovators openly share data across technologies, disciplines, and countries to address the grand challenges of society.
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4. Complex … but achievable
The RDA Mission
Build the social and technical bridges that enable open sharing and re-use of data.
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5. Realistic … actually happening
The RDA Approach
To further research innovation, efficiency and reproducibility by identifying and facilitating socio-technical best practices and standards for research data, tools and infrastructure.
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6. RDA Guiding Principles
Openness
Consensus
Balance
Harmonization
Community-driven
Non-profit and technology-neutral
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7. Designed and developed by the Community … for the community
Multi, cross- and inter- disciplinary
Grass roots approach
International, neutral, social platform
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8. The heart of RDA … 102 groups
Interest Groups
Working Groups
develop and implement tools, policy, practices & products for data management that are adopted and used by projects, organisations, communities
TIMING: MONTHS
TOTAL: 36 Working Groups
focus on solving a specific data sharing problem and identifying what kind of infrastructure needs to be built.
TIMING: as long as group is active
TOTAL: 66 Interest Groups
RECOMMENDATIONS: Concrete deliverables - “Running code”, tools, standards, etc.
OUTPUT: Possibly case statements for new WGs, guidelines, best practice, etc.
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9. RDA Recommendations & Outputs
SUPPORTING OUTPUTS
OTHER OUTPUTS
Equivalent of the “specifications” or “standards” that other organisations create and endorse. 18 Recommendations of which 8 ICT Technical Specifications
Outputs of RDA WGs and IGs that are fruit of RDA work, but are not necessarily adoptable bridges. 12 Supporting Outputs
Anything a WG or IG wants to register and report, e.g. workshop reports, articles, survey results, etc.
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10. RDA Outputs in the Research Data Management Lifecycle

11. Research Data Management Perspective
Data Collection
Data Description
Identify, Store, and Preserve
Disseminate, Link, and Find
Policy, Legal Compliance, and Capacity
Adapted original source: The University of California, Santa Cruz, Data Management LibGuide, Research Data Management Lifecycle, diagram, viewed 15th September 2015 <
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12. Manage Data
DMP Common Standards: make data management plans able to evolve!
23 Things for Research Data: practical of free, online resources and tools that can be used to incorporate research data management into the practice of librarianship
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13. Collect Data
11 quick tips for finding research data: help researchers more effectively and precisely discover data that meets their specific needs
Dynamic Data Citation: covering covers issues surrounding Data Versioning, Data Timestamping and Data Identification
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14. Describe Data Metadata Standards Directory
Wheat Data Interoperability Guidelines
Data Type Registries
Array Database Assessment
RDA/TDWG Metadata Standards for attribution of physical and digital collections stewardship
Brokering Governance Framework
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15. Identify, Store, & Preserve Data
Data Foundation & Terminology: Basic Vocabulary of Foundational Terminology Query Tool
PID Information Type Registry: Efficiently verify, find, access, and reuse PID related information
PID Kernel Information: Inject a tiny amount of carefully selected metadata into a Persistent ID (PID) record.
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16. Disseminate, Link & Find Data
Journal and publisher research data policy master framework created by the Data policy standardisation and implementation IG
Workflows for Research Data Publishing: Models and Key Components from RDA/WDS Publishing Data Services
Data Description Registry Interoperability (DDRI): Interoperability model for cross-platform discovery
RDA / WDS Scholarly Link Exchange: a one-for-all service model infrastructure for the research data publication landscape.
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17. Policy, Legal Compliance and Capacity
Practical Policy: Machine Actionable Policy Templates for Trusted Research Repositories
Repository Audit and Certification / DSA–WDS Partnership: common framework for certification and a service of trusted data repositories
CODATA-RDA Legal Interoperability of Research Data: Principles and Implementation Guidelines
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18. RDA outputs across the DML
Scientific Community Engagement
RDA outputs across the DML
Active Data Management Plans
Publisher
Commitments
Dynamic Data Citation
Data Sharing Workflows
Develop & Explore Vocabularies
Scholix
PID management
Repository Interoperability
Repository Trust
Reproducibility

19. Adopting RDA Outputs
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20. OECD Global Science Forum and the Income Streams for Data Repositories
RDA/WDS Publishing Data Cost Recovery for Data Centres Interest Group 
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21. Data standards for Agriculture: INRA adoption of RDA Outputs
Wheat Data Interoperability Guidelines
Agrisemantics WG recommendations
Data Fabric
“23 Things: Libraries for Research Data”
FAIRsharing Registry
Dynamic Data Citation
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22. Climate Data Modelling: DKRZ adoption case
Data Foundation and Terminology
PID Information Types
Data Fabric
Data Type Registries
Dynamic Data Citation
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23. Who is the Research Data Alliance?
What type of data professionals make up the RDA community and where do they come from?
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24. RDA across the globe 8,125+ RDA members from 137 different countries
Guiding Principles:
Openness
Consensus
Balance
Harmonization
Community-driven
Non-profit and technology-neutral
8,125+ RDA members from 137 different countries
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25. RDA Community professions
23% RDA community are researchers (1,800)
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26. RDA Organisational Type
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27. RDA in Nordic Countries
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28. How well are Nordic countries represented in RDA?
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29. RDA European National Nodes
Denmark: DeIC (Danish e-Infrastructure Cooperation),  The National Forum for Research Data Management (DM Forum) and  The Danish National Archives 
Finland: CSC – IT Center for Science Ltd.,
Norway:
Sweden: Swedish National Data Service*
* Application submitted, evaluation on-going
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30. RDA & the FAIR Data Principles
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31. RDA WG FAIR Data maturity model
Design principles & expected outcomes
RDA WG FAIR Data maturity model
Generic
Expandable
Neutral
Design principles
To measure FAIR
To improve FAIR
Input
Researchers
Core assessment criteria
To benchmark FAIR
Develop
H2020-INFRAEOSC
Input
To develop by extension specific assessment tools
FAIR data maturity model
Working Group
Infrastructures
RDA Disciplinary Collaboration Framework IG
RDA/FORCE11 FAIR Sharing WG
RDA DMP Common Standards WG
RDA Metadata Standards Catalogue WG
Data Description Registry Interoperability WG
WDS/RDA Assessment of Data Fitness WG
Research Data Repository Interoperability WG
RDA/CODATA Legal interoperability IG
RDA Data policy standardisation and implementation IG
RDA Domain Repositories IG
RDA Metadata IG
RDA PID IG
RDA GO FAIR IG
Funders
Source Presentation by Kostas Repanas, European Commission, Directorate General Research & Innovation (DG RTD), Unit B2 – Open Science, RDA 13th Plenary Meeting

32. The Research Data Alliance & the European Open Science Cloud
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33. EOSC Implementation Roadmap Action Lines
(a) architecture (b) data (c) services (d) access and interfaces (e) Rules (f) governance
RDA provides an international forum for discussing and agreeing relevant technical standards for the first 4 action lines all of which are within the scope of RDA
ICT Technical Specifications within the EC Multi-stakeholder Platform
International governance – Council, TAB, OAB, Funders Forum, GEDE
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34. 8 RDA recommendations approved 4 currently starting evaluation process
EOSC Rules
RDA recognised as a robust, open and an transparent organisation, compliant with the ICT Technical Specification identification processes and procedures.
8 RDA recommendations approved
4 currently starting evaluation process
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35. RDA Plenary Meetings
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36. 14th RDA Plenary Meeting, Helsinki, Finland, 23 – 25 October 2019
Co-located Events Call – Deadline 20 May 2019
Registration Now Open
22 Oct 2019 – EOSC & RDA event
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37. Conclusion
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38. The Research Data Alliance a help or a hindrance?
If you want to go fast, go alone
If you want to go far, go together
African Proverb
The Research Data Alliance a help or a hindrance?

39. THANK YOU VERY MUCH
RDA -
Web -
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LinkedIn -
Slideshare -
Open Science: is the Research Data Alliance a help or a hindrance? NeIC2019, 14 May Copenhagen, Denmark
Hilary Hanahoe
Secretary General, Research Data Alliance -
Twitter - @hilaryhanahoe
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