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RDA Presentation to G8


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Presentation by several RDA Council members to G8 Ministers

Presentation by several RDA Council members to G8 Ministers

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  • 1. How and why did the RDA start? John Wood
  • 3. Global collaboratories  They can engage in whole new forms of scientific inquiry and treat information at a scale we are only beginning to see.  … and help us solving today’s Grand Challenges such as climate change and energy supply. 3
  • 4. Vision 2030     4
  • 5. Main drivers  Grand Challenges facing the world demand international collaboration across disciplines  Research Democracy (  Physical and virtual research infrastructures are largely data driven  Sheer amount of data being generated  More value from reuse of data  Eg Australia spends $3B per annum on data collection  More and more researchers are seeing the value of sharing  Many countries developing open research data policies 5
  • 6. Copenhagen ICRI Meeting Alan Blatecky (NSF) “Let’s just get on with it” European Commission, NSF/NIST, Australia agreed via different funding schemes encouraged collaboration. Various meetings in 2012 plus very regular video calls resulted in deciding on the name “Research Data Alliance” Ross Wilkinson, Fran Berman, and John Wood formed initial council Huge bottom up activity – community driven 6
  • 7. Evolving structure  Definition of Interest and Working Groups  Focus on concrete deliverables accepted and used by the community  Each region contributed to the secretariat (US/EU/Aus)  Need for secretary-general to bring it all together became obvious (Australia is funding the first year)  Not for profit Legal entity developed (Funded by EC)  Close cooperation between funders (and with RDA Council) to bring in other regions/countries of the world (RDA-C)  RDA structure developed including Council, TAB and OAB 7
  • 8. Big Bang!  First Plenary and formal start of RDA Gothenburg March 2013  Registration filled within a few days  Community less interested in processes and organisation – rather wanted more time for BOF, IG and WG side meetings  Council adopted methodologies for populating TAB (initially 6 nominated by Council – remainder elected. After one year the 6 step down and a further election will take place).  Process for selecting Council agreed with RDAC 8
  • 9. Lessons 9  Bottom up activity – huge momentum, needs support  Members’ enthusiasm reflects need for Infrastructure  Groups not used to focusing on concrete deliverables that are adopted by the community  Need to encourage more user communities to become involved to influence the agenda  Need for developing active data specialists in all regions
  • 10. Snapshot of the RDA Fran Berman
  • 11. Abingdon RDA Goals Slide, March 2013 11
  • 12. The RDA Community today: Over 1000 members from 55 countries Asia 3% Africa 2% Asia-pacific 4% South America 1% 12
  • 13. RDA Plenaries: Venue for community building and WG / IG progress Plenary 1  RDA Plenary 1 / Launch  March 2013 in Gothenburg, Sweden  240 participants  3 WG, 9 IG  RDA Plenary 2  September 2013 in Washington, DC Plenary 2  380 participants  6 WG, 17 IG, 5 BOF  Data Citation Summit colocated in RDA “neutral space”  First Organizational Assembly meet-up Fran Berman 1 133
  • 14. 14 RDA Organizational Structure RDA Council RDA Membership Responsible for overarching mission, vision, impact of RDA Secretary-General and Secretariat Technical Advisory Board Responsible for Technical roadmap and interactions Responsible for administration and operations Organizational Advisory Board and Organizational Assembly Responsible for organizational and strategic advice Working Groups Responsible for impactful, outcome-oriented efforts Interest Groups Responsible for defining and refining common issues RDA Colloquium (Research Funders) Operational and community sponsorship
  • 15. Organizational Evolution over the last year RDA Membership RDA Council 7 out of 9 Council members now appointed, all appointed by Plenary 3 Technical Advisory Board 11 out of 12 TAB members now chosen, all 12 chosen by Plenary 3 Secretary-General and Secretariat New Secretary General to be in place by Plenary 3 Organizational Advisory Board and Organizational Assembly 25 organizations interested in Membership; 7 organizations interested in Affiliate status Working Groups 3 WGs at Plenary 1, 6 WGs at Plenary 2, potentially 12+ WGs at Plenary 3 Interest Groups 9 IGs at Plenary 1, 17 IGs at Plenary 2 + 5 BOFs, 29+ IGs at Plenary 3 + ?? Birds-of-a Feather RDA Colloquium Operational and community sponsorship 15
  • 16. RDA Organizational Partners Member Applicants • Institute for Quantitative Social Science at Harvard • Barcelona Supercomputing Center • Intersect Australia Limited • European Data Infrastructure (EUDAT) • Microsoft • International Association of STM Publishers • Oracle • New Zealand eScience Infrastructure • STFC - Science & Technology Facilities Council • Washington University Libraries • Corporation for National Research Initiatives (CNRI) • Purdue University Libraries • Terrestrial Ecosystems Research Network • Research Data Canada • University of Michigan Libraries • eResearch Services and Scholarly Application Development Division of Information Services Interested Affiliates • American University Library • Committee on Data for Science and Technology (CODATA) Other interested Organizations • Connecting Research and Researchers (ORCID) • Australian Antarctic Data Centre • DataCite • Australian National Data Service • International Oceanographic Data and Information Exchange (IODE) • CERN • CJSD Consulting • Columbia University Libraries/Information Services • CSC - IT Center for Science Ltd. • Digital Curation Centre • IBM • Scholarly Publishing and Academic Resources Coalition (SPARC) • World Data System (WDS) 16
  • 17. RDA Community-Driven Groups        Repositories, Data Descriptions Registry Interoperability, DSA-WDS Partnership Working Group on Certification Birds-of-a-Feather (met at Plenary 2) Linked Data Chemical Safety Data Education and Skills  Development in Data Intensive Science Libraries and Research Data Cloud Computing and Data Analysis Training for the Developing World Working Groups        Data Type Registries Persistent Identifier Types Data Foundations and Terminology Metadata Standards Practical Policy Data Categories and Codes WG Case statements being prepared: Citing Dynamic Data, Publishing Data Workflows, Publishing Data Services, Data Bibliometrics, Cost Recovery Models for Interest Groups               Agricultural Data Interoperability Certification of Trusted Repositories (joint with ICSUWDS) Data Citation Metadata Marine Data Harmonization Community Capability Model Engagement Preservation e-Infrastructure Legal Interoperability (joint with CODATA) Defining Urban Data Exchange for Science Marine Data Harmonization Structural Biology Big Data Analytics Data Brokering Blue = new between Plenary 1 and Plenary 2 Green = new since Plenary 2              17 Publishing Data (joint with WDS) Toxicogenomics Interoperability Research Data Provenance Materials Data Management Global Registry of Trusted Data Repositories and Services Digital Practices in History and Ethnography Biodiversity Data Integration Long tail of Research Data Development of cloud computing capacity and education in developing world Service Management IG (pending) Domain Repositories Interest Group (pending) Federated Identity Management (pending) Persistent Identifier Interest Group – PID-IG (pending)
  • 18. Community-Driven RDA Groups by Focus Domain Science - focused  Toxicogenomics Interoperability IG  Structural Biology IG  Biodiversity Data Integration IG  Agricultural Data Interoperability IG  Digital History and Ethnography IG  Defining Urban Data Exchange for Science IG  Marine Data Harmonization IG  Materials Data Management IG Reference and Sharing focused Data Stewardship focused  Data Citation IG   Data Categories and Codes WG   Legal Interoperability IG 18 Community Needs focused    Community Capability Model IG Engagement IG Clouds in Developing Countries IG  Preservation e-infrastructure  Long-tail of Research Data IG Research Data Provenance IG   Certification of Digital Publishing Data IG Repositories IG Global Registry of Trusted Data Repositories and Services IG  Base Infrastructure - focused  Metadata IG  Data Foundations and Terminology WG  Big Data Analytics IG  Metadata Standards WG  Data Brokering IG  Practical Policy WG  PID Information Types WG  Data Type Registries WG Domain Repositories IG
  • 19. Coming in 2014 19  RDA Plenary 3  March 26-28, 2014 in Dublin, Ireland  Hosted by Australia and Ireland  Theme: “The Data Sharing community - Playing Your Part”  RDA Plenary 4  September 2014 in The Netherlands  Being planned now … Plenary 3 Plenary 4
  • 20. Research Data Alliance Action Ross Wilkinson
  • 21. Groups that Met at the 2nd RDA Plenary  Birds-of-a-Feather       Working Groups        Linked Data Chemical Safety Data Education and Skills Development in Data Intensive Science Libraries and Research Data Cloud Computing and Data Analysis Training for the Developing World Data Type Registries Metadata Standards Practical Policy Persistent Identifier Types Data Foundations and Terminology Language Codes Interest Groups             Agricultural Data Big Data Analytics Data Brokering Certification of Trusted Repositories (joint with ICSU-WDS) Long tail of Research Data Marine Data Harmonization Community Capability Model Data Publishing (joint with WDS) Toxicogenomics Interoperability Research Data Provenance Data Citation Metadata        21 Economic Models and Infrastructure for Federated Materials Data Management Engagement Preservation eInfrastructure Legal Interoperability (joint with CODATA) Global Registry of Trusted Data Repositories and Services Digital Practices in History and Ethnography Data Citation Harmonization Summit  DataCite,force11, CODATA/ICST, ESIP, DCC, etc.
  • 22. Bridges Under Construction! 22
  • 23. First RDA Infrastructure Deliverables in 2014 (1) 23  Data Type Registries WG  Defining a system of data type registries  Defining a formal model for describing types and building a working model of a registry.  To be adopted by CNRI, International DOI Foundation, and used by the Deep Carbon Observatory and others  (working in conjunction with PID group)  Scheduled to complete Summer, 2014  Persistent Identifier Information Types  Defining a minimal set of types that must be associated with a PID (e.g. checksum, author). Specifying an API for interaction with PID types  Adopted and used by Data Conservancy and DKRZ  (working in conjunction with DTR group)   Metadata Standards Scheduled to complete Summer, 2014  Creating use cases and prototype directory of current metadata standards from starting point of DCC directory and stakeholder contributions.  To be hosted and used by JISC, DataOne and others  Scheduled to complete Fall, 2014
  • 24. First RDA Infrastructure Deliverables in 2014 (2) 24  Language Codes  Operationalization of ISO language categories for repositories  Adopted and used by the Language Archive, PARADISEC  Proposal of data categories associated with the CMDI schema as ISO standards.  Scheduled to complete Fall, 2014  Data Foundations and Terminology   Defining a common vocabulary for data terms based on existing models. Creating formal definitions in a structured vocabulary too which also provides an open registry for data terms.  Scheduled to complete Summer, 2014 Survey of policies in production use across data management centers. Test bed of machine-actionable policies (IRODS, DataVerse, dCache) at RENCI, DataNet Federation Consortium, CESNET, Odum Institute.  Deployment of 5 policy sets (integrity, access control, replication, provenance / event tracking, publication ) on test beds. Publication of standard policies for use as starter kits.  Scheduled to complete Summer, 2014 Tested and adopted by EUDAT, DKRZ, Deep Carbon Observatory, CLARIN, EPOS, and others   (active input from all RDA WGs)   Practical Code policies (rules)
  • 25. RDA Language Codes Working Group  Delivering data interoperability to Linguistics, Musicology, etc.  How do different disciplines exchange data about human languages? approach to enable a “rough consensus” to be rapidly achieved  Uses a metadata approach compatible with building blocks of other RDA working groups  Leverages ISO Standards, but meets the need of researchers for  Delivers a practical approach to fine grained language distinction language interoperability in 18 months  Enables data discovery across disciplines  Brings together expertise across disciplines and across standards 25
  • 26. RDA Data Type Registries  Delivering interoperability building block that enables machines to share data from all disciplines  Data within disciplines will generally have ways of organising their data. 26 observations, time series, a set of time series describing a complex phenomenon, and so forth  Enables data citation  Supports Deep Carbon Observatory Data Management  No single solution for all, but practical solutions that get used  If data in geophysics is needed by hydrologists, they not only need access, but usability, so the  Engaged with other Building Blocks form of the data needs to be machine understandable  WG will create a Data Type Registry methodology, data model, and prototype
  • 27. RDA Agricultural Data Interoperability  Many initiatives to make Agricultural data more available 27 Interoperability: provide a common framework for describing, representing linking  GFAR (Global Forum on Agricultural and publishing Wheat data with Research) with FAO(Food and Agriculture Organization of the UN) respect to open standards.  Interest group discussion of  CGIAR (Cooperative Group on International Agricultural research) Agricultural Data policies  Possible Germplasm Data  CIARD movement to open up access to agricultural knowledge worldwide. Working Group  Group working together to spin of  RDA Interest Group formed to activities that deliver seek short sharp initiates that can implementation and adoption in make a quick difference 18 months  First initiative: Wheat Data
  • 28. RDA Path to Impact  Variable, but  Need to work quickly  Need to be concrete  All required to demonstrate adoption, and community support 28
  • 29. Shared Research Data Infrastructure  All countries need data infrastructure to tackle the big problems  They need international collaboration across disciplines  Data volume, variety and velocity is increasing  More value from reuse of data  So countries need to share the cost of research data infrastructure  Need to future proof investments  RDA is a good way of lowering the cost and increasing the interoperability of research data infrastructure 29
  • 30. 30 Info: Fran Berman