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Open Science: is the Research Data Alliance a help or a hindrance?

Open Science: is the Research Data Alliance a help or a hindrance?. 14 th May 2019 Hilary Hanahoe, Secretary General, Research Data Alliance hilary.hanahoe@rda-foundation.org | @ hilaryhanahoe | @ resdatall. Open Science. Collaborative and collective work Accessible scientific research

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Open Science: is the Research Data Alliance a help or a hindrance?

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  1. Open Science: is the Research Data Alliance a help or a hindrance? 14th May 2019 Hilary Hanahoe, Secretary General, Research Data Alliance hilary.hanahoe@rda-foundation.org | @hilaryhanahoe | @resdatall

  2. Open Science • Collaborative and collective work • Accessible scientific research • Accessible knowledge www.rd-alliance.org @resdatall CC BY-SA 4.0

  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. www.rd-alliance.org @resdatall CC BY-SA 4.0

  4. Complex … but achievable The RDA Mission Build the social and technical bridges that enable open sharing and re-use of data. www.rd-alliance.org @resdatall CC BY-SA 4.0

  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. www.rd-alliance.org @resdatall CC BY-SA 4.0

  6. RDA Guiding Principles • Openness • Consensus • Balance • Harmonization • Community-driven • Non-profit and technology-neutral www.rd-alliance.org @resdatall CC BY-SA 4.0

  7. Designed and developed by the Community … for the community Multi, cross- and inter-disciplinary Grass roots approach International, neutral, social platform www.rd-alliance.org @resdatall CC BY-SA 4.0

  8. The heart of RDA … 102 groups Working Groups Interest 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 • develop and implement tools, policy, practices & products for data management that are adopted and used by projects, organisations, communities • TIMING: 12-18 MONTHS • TOTAL: 36 Working Groups RECOMMENDATIONS: Concrete deliverables - “Running code”, tools, standards, etc. OUTPUT: Possibly case statements for new WGs, guidelines, best practice, etc. www.rd-alliance.org @resdatall CC BY-SA 4.0

  9. RDA Recommendations & Outputs OTHER OUTPUTS RECOMMENDATIONS SUPPORTING OUTPUTS 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. Equivalent of the “specifications” or “standards” that other organisations create and endorse. 18 Recommendations of which 8 ICT Technical Specifications www.rd-alliance.org @resdatall CC BY-SA 4.0

  10. RDA Outputs in the Research Data Management Lifecycle

  11. Research Data Management Perspective • Data Management • 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 <http://guides.library.ucsc.edu/datamanagement> CC BY-SA 4.0

  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 www.rd-alliance.org @resdatall CC BY-SA 4.0

  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 www.rd-alliance.org @resdatall CC BY-SA 4.0

  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 www.rd-alliance.org @resdatall CC BY-SA 4.0

  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. www.rd-alliance.org @resdatall CC BY-SA 4.0

  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. www.rd-alliance.org @resdatall CC BY-SA 4.0

  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 www.rd-alliance.org @resdatall CC BY-SA 4.0

  18. 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 www.rd-alliance.org @resdatall CC BY-SA 4.0

  20. OECD Global Science Forum and the Income Streams for Data Repositories RDA/WDS Publishing Data Cost Recovery for Data Centres Interest Group  https://www.rd-alliance.org/towards-sustainable-research-data-repositories www.rd-alliance.org @resdatall CC BY-SA 4.0

  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 https://www.rd-alliance.org/data-standards-agriculture-inra-adoption-rda-outputs www.rd-alliance.org @resdatall CC BY-SA 4.0

  22. Climate Data Modelling: DKRZ adoption case • Data Foundation and Terminology • PID Information Types • Data Fabric • Data Type Registries • Dynamic Data Citation https://www.rd-alliance.org/dkrz-adopts-6-rda-outputs-climate-data-modelling CC BY-SA 4.0

  23. Who is the Research Data Alliance? What type of data professionals make up the RDA community and where do they come from? www.rd-alliance.org @resdatall www.rd-alliance.org @resdatall CC BY-SA 4.0

  24. RDA across the globe 8,125+ RDA members from 137 different countries www.rd-alliance.org @resdatall www.rd-alliance.org @resdatall CC BY-SA 4.0

  25. RDA Community professions 23% RDA community are researchers (1,800) www.rd-alliance.org @resdatall CC BY-SA 4.0

  26. RDA Organisational Type www.rd-alliance.org @resdatall CC BY-SA 4.0

  27. RDA in Nordic Countries www.rd-alliance.org @resdatall CC BY-SA 4.0

  28. How well are Nordic countries represented in RDA? CC BY-SA 4.0

  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 CC BY-SA 4.0

  30. RDA & the FAIR Data Principles www.rd-alliance.org @resdatall CC BY-SA 4.0

  31. Design principles &expected outcomes • RDA WG FAIR Data maturity model Generic Expandable Neutral Design principles To measure FAIR To improve FAIR Researchers Input Core assessment criteria To benchmark FAIR Develop H2020-INFRAEOSC To develop by extension specific assessment tools Input 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 www.rd-alliance.org @resdatall CC BY-SA 4.0

  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 CC BY-SA 4.0 www.rd-alliance.org @resdatall CC BY-SA 4.0

  34. 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 https://www.rd-alliance.org/recommendations-outputs/standards www.rd-alliance.org @resdatall CC BY-SA 4.0

  35. RDA Plenary Meetings www.rd-alliance.org @resdatall CC BY-SA 4.0

  36. 14thRDA 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 www.rd-alliance.org @resdatall CC BY-SA 4.0

  37. Conclusion www.rd-alliance.org @resdatall CC BY-SA 4.0

  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

  39. Open Science: is the Research Data Alliance a help or a hindrance?NeIC2019, 14 May Copenhagen, Denmark THANK YOU VERY MUCH RDA Email - enquiries@rd-alliance.org Web - www.rd-alliance.org Twitter - @resdatall LinkedIn - www.linkedin.com/in/ResearchDataAlliance Slideshare - http://www.slideshare.net/ResearchDataAlliance Hilary Hanahoe Secretary General, Research Data Alliance Email - hilary.hanahoe@rda-foundation.org Twitter - @hilaryhanahoe www.rd-alliance.org @resdatall CC BY-SA 4.0

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