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Organisational Members

Organisational Assembly @P6 September 24, 2015 Open Meeting, 11:00-12:30 Members-Only meeting, 13:30-15:00. Organisational Members. The Assoc ’ n of Commonwealth Universities American University Library Australian National Data Service Barcelona Supercomputing Center CANARIE

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Organisational Members

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  1. Organisational Assembly @P6 September 24, 2015Open Meeting, 11:00-12:30Members-Only meeting, 13:30-15:00

  2. Organisational Members • The Assoc’n of Commonwealth Universities • American University Library • Australian National Data Service • Barcelona Supercomputing Center • CANARIE • CAP Digital Cluster • Corp’n for National Research Initiatives (CNRI) • Columbia University Library • CSC • DANS • Digital Curation Center • EGI.eu • EIROForum IT Working Group • eResearch Services, Griffith University • European Data Infrastructure (EUDAT) • German Data Forum (RatSWD) • IU Trident - Indiana University Pervasive Technology Institute • National Institute of Advanced Industrial Science and Technology (AIST), Japan • International Association of STM Publishers • Internet2 • LIBER • NCSA • NZ eScience Infrastructure • Netherlands e-Science Centre • Purdue University Libraries • Research Data Canada • Scholarly Publishing and Academic Resources Coalition (SPARC) • Science & Technology Facilities Council • Syracuse University - Center for Qualitative and Multi-Method Inquiry (CQMI) • Terrestrial Ecosystem Research Network (TERN) and Australian Centre for Ecological Analysis and Synthesis (ACEAS) • Washington University in St. Louis Libraries • Web Science Trust Affiliates • CODATA • ICSU World Data System • ORCID • DataCite • CASRAI

  3. RDA ORGANISATIONAL ASSEMBLY OPEN MEETING AGENDA • Introduction (Juan and Walter) • Organisational Assembly and Organisational Advisory Board (OAB) purpose • Technical Advisory Board report, Andrew • OA clustering survey analysis, Leif • Private sector engagement – How can RDA/OA be useful for the private sector, discussion, all. • AoB

  4. RDA ORGANISATIONAL ASSEMBLY MEMBERS-ONLY MEETING AGENDA • Introduction - Juan • Future Directions planning – Walter • TAB report – Andrew • The role of OA in reviewing outputs, driving adoption and forming consensus, esp. review process – Juan • OA-TAB collaboration in steering future work of RDA work - Discussion • Council Report – Fran • OAB clustering/mapping exercise– Leif • OAB election plan – Call for candidates – Walter • Candidates by January 31st, meet the candidates in Tokyo, balancing discussion

  5. RDA ORGANISATIONAL ASSEMBLY OPEN MEETING AGENDA • Introduction (Juan and Walter) • Organisational Assembly and Organisational Advisory Board (OAB) purpose • Technical Advisory Board report, Andrew • OA clustering survey analysis, Leif • Private sector engagement – How can RDA/OA be useful for the private sector, discussion, all. • AoB

  6. RDA Outputs Pipeline for Plenary 6September 2015 Andrew Treloar, TAB Co-chair @atreloar

  7. Coming Outputs • Publishing Data Bibliometrics (P7) • Producing Next Steps for Bibliometric Data report • Preliminary guidance for community of minimal practice • Targeting repository managers, librarians, academic publishers • Data Description Registry Interop (P6) • Approach to connecting datasets on basis of co-authorship or joint funding • Implementation of this approach as RD-Switchboard • Useful for research managers, infrastructure builders

  8. Coming Outputs • Brokering Governance(P7) • Producing framework and guidelines • Targeting infrastructure builders, operators • Biosharing Registry(P8) • principles for linking information about databases, content standards and journal / funder policies in the life sciences • curated registry to access and cross-search the information, on which a variety of stakeholders can base their decisions • Already being adopted by wide range of bio players

  9. Coming Outputs • Repository Audit and Certification (P7) • Harmonised approach to levels of certification • Common Requirements and Common Procdures • Targeting repository/data centre managers/users • Focussed on building trust in support of data sharing • Data Citation of Evolving Data (P6-9) • Approach and example implementations • Reports and further testing to come • Intended for data centre operators • Data Type Registry (P6) • Standardised way to characterise data types • Intended as plumbing for other system builders

  10. Coming Outputs • PID Information Types (P6) • Report, API, sample code • Targeting system builders, data fabric • Practical Policy (P6) • Reports on principles and implementations • Two testbeds underway • Targeting data centre managers • Data Publishing Models (P7) • Analysis of data publishing building blocks

  11. Coming Outputs • Data Publishing Services (P7) • Open universal literature-data cross-linking service • Users: data centres, publishers, etc • Metadata Standards Directory/Catalog (P7-9) • Machine and human readable list of standards • Users: Researchers, data managers, system builders • Wheat Data Interoperability (P6) • Building common interoperability framework (metadata, data formats, vocabularies) • Providing guidelines, portal of ontologies/vocabs • Targets: data managers, data providers, data scientists, bioinformaticians, researchers • Part of http://wheatis.org/

  12. Adopters • Deep Carbon Observatory Data Portal • Data Type Registries, PID Information Types • Took their definitions and embedded in their portal • Platform for Experimental Collaborative Ethnography • Practical Policy, PID Collections (planned) • EUDAT Collaborative Data Infrastructure • Data Foundation and Terminology, PID Information Types, Data Type Registries, Practical Policy • Adoption by CLARIN, ICOS (greenhouse gasses) • DKRZ (German Climate Computing Centre) • PID Information Types for their handles, further engagement with Data Fabric IG

  13. Adopters • CLARIN • DFT - adopting their data model • Certification of their data centres • DataFed (Air Quality) • Adoption of DTR and analysis approach • “Adopting as outsider is possible” • Great community support available • NIST • Adoption of DTR (http://typeregistry.org/) and PID Info Types • Great to work with WGs and get help to move things along

  14. RDA ORGANISATIONAL ASSEMBLY OPEN MEETING AGENDA • Introduction (Juan and Walter) • Organisational Assembly and Organisational Advisory Board (OAB) purpose • Technical Advisory Board report, Andrew • OA clustering survey analysis, Leif • Private sector engagement – How can RDA/OA be useful for the private sector, discussion, all. • AoB

  15. RDA ORGANISATIONAL ASSEMBLY OPEN MEETING AGENDA • Introduction (Juan and Walter) • Organisational Assembly and Organisational Advisory Board (OAB) purpose • Technical Advisory Board report, Andrew • OA clustering survey analysis, Leif • Private sector engagement – How can RDA/OA be useful for the private sector, discussion, all. • AoB

  16. First analysis of the RDA Organisational Member (mapping) questionnaire, summer 201524th September 2015 @ Paris P6 Updated: 8th June 2015

  17. The Research Data Alliance Community Today Total RDA Community Members: 3243 from 103 countries

  18. RDA Organisational & Affiliated Members

  19. Organisation & Affiliate Members • Organisations & initiatives seen as pioneersin realizing full value from research data • Exercise influencein the development of standards for data exchange and will provide valuable insights to the entire range of RDA activity • Frequently briefedon developments in data interoperability with equally regular opportunity to provide feedback on activity and suggestions on next steps • Interact with the Technical Advisory Board (TAB) to achieve impact through IG and WG proposals by providing guidance on overlap and synergies with other RDA and community efforts • Collaborating with the TAB on mid-point and final Working Group products and to support on how implementable proposed product is likely to be

  20. Organisational Members Composition

  21. RDA Affiliate Members 20% 30% 45% 5% Policy/ Funding Agency Other Academia/ Research SMEs

  22. What? • At the RDA OA meeting during P5 in San Diego on the 9th March 2015 Beth Pale gave a detailed presentation for discussion on future directions for RDA Working Groups through the RDA TAB clustering effort. • After a detailed and constructive discussion at the meeting it was decided to create a sub-committee/sub-group to do a similar effort on OA clustering. • The volunteers identified at the meeting were : • Amy Nurnberger, Jill Kowalchuk, Leif Laaksonen (Coordinator), MustphaMokrane, Ross Wilkinson and Stephen Wolff. Time wise, at least a first analysis would be presented during Plenary 6 in Paris. • The group have had videoconferences and communicated through mail to support the first draft document on the analysis to support the current presentation. Final version will be produced as soon as possible after Plenary 6. • The observations are summarized from 17 responses (32 + 5 OM/AM).

  23. How? • During the first meeting of the group, before the summer 2015, it was agreed that a short survey would be carried out through the RDA main web site, which also provides facilities for preparing the survey as well as tools for numeral analysis bases on selected choices picked by the respondents. • The invitation to participate in the survey went out to the full number of Organisations and Affiliated members (32 + 5) around 15th June with a deadline of 15th July. • We left the option open to answer the questionnaire anonymously but all gave their organization name. That information is due to anonymity and is not disclosed in this report. • During the planning stage of the survey it become clear that it would most likely not be possible to produce a similar 2D mapping graph as the TAB has produced and that it would need some more creative thinking to link the RDA OM activities with the RDA WG/IG landscape.

  24. Outcome • The answers to the question "What are the top 3 challenges related to data or data services for your organisation?" primarily addressed two leading characteristics of any challenge: • What is the area of concern? • What is the barrier type? • With regard to area of concern, the responses sorted themselves into five main areas: • Culture, human resources, monetary resources, policy, and technology • The two most prevalent areas mentioned were culture and technology. • Monetary resources followed after these two, typified by terms such as "financial" and "funding". • The next most frequent area of challenge was concerned with issues of policy and politics. • The final area, human resources, was separated out as a distinct area from a more general "resources" category and the "monetary resources" category, and although these responses make up the category with the fewest number of responses, they also demonstrate the highest level of internal agreement, centering on the dearth of skilled data professionals.  • While each answer had an area of concern, they did not each have a corresponding barrier type. However, four main barrier types revealed themselves scattered throughout these areas of concern as lacks of: coordination, change, education, and clarity.

  25. Outcome …continues • Monetary resources and policy are both affected by barriers erected by the lack of coordination and clarity.  • On the part of monetary resources, it is the want of clarity around stable funding or expected funding practices that creates the challenge. • Deficient coordination is an obstacle for not just monetary resources, but also for policy in attempting to achieve harmonization across multiple jurisdictions, or levels thereof.  • A paucity of clarity in policies only contributes to these challenges.

  26. General ways RDA can help 1/2 • Policy support and architectures where data creators are encouraged/valued/rewarded for sharing data. • Promoting the principle of (open) data as a service to the organisations holding data and where possible machine to machine rather than having to log on to their site. • Everything that helps sustain an open science environment will increase re-use of data. • Social/political facets of data reuse • Recommend continuing to push involvement from RDA from domain specific organisations and organisational groups.

  27. General ways RDA can help 2/2 • Ecosystem data interoperability • Interdisciplinary support • Identification and promotion of good practice examples • Provide examples of successful and perhaps less successful examples of data re-use across disciplines and country borders. • A framework that promotes interoperability and close cooperation between various providers of research infrastructures for data (disciplinary, institutional, national, etc.) • Investigating related needs from a user perspective: infrastructure functionalities, access gaps (e.g. heritage data, gaps in coverage), etc.

  28. Specific ways RDA can help 1/2 • Active use of data is a stronger focus, though supporting active use, or managing data well at the time it is captured and used, should support re-use. Perhaps this linkage is important - how do our active data practices support re-use? • Active Data Management Plans • Developing agreed meta-data standards and promoting their use • Establishing an agreed glossary of terms related to data management, preservation, access and retrieval. • Data access and interoperability standards (inc.PIDs, Metadata, preservation)

  29. Specific ways RDA can help 2/2 • Libraries for Research Data Interest Group whose recent topics have included library data service provisioning; librarian skills; and organizational models. • Reproducibility • Provenance • Streamlining and automating data flow • Brokering • Machine to machine implies standard approaches to data as well as methods used. • Adoption of data type registries

  30. Next Steps for RDA More Infrastructure Continuing pipeline of infrastructure deliverables adopted and used to accelerate data sharing Increasing coordination of infrastructure Increasing cross-boundary collaborations between domains, sectors, organizations International and regional programs focusing on workforce, outreach, expansion of infrastructure impact New partners in the Organizational Assembly Focused strategy to support development of industry infrastructure for data sharing Effective Community Synergistic Programs Partnership with Industry

  31. RDA ORGANISATIONAL ASSEMBLY OPEN MEETING AGENDA • Introduction (Juan and Walter) • Organisational Assembly and Organisational Advisory Board (OAB) purpose • Technical Advisory Board report, Andrew • OA clustering survey analysis, Leif • Private sector engagement – How can RDA/OA be useful for the private sector, discussion, all. • AoB

  32. Organisational Assembly @P6 September 24, 2015Open Meeting, 11:00-12:30Members-Only meeting, 13:30-15:00

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