RDAP13 Mark Parsons: The Research Data Alliance: Making Data Work
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The Research Data Alliance (RDA) aims to facilitate the sharing and exchange of research data across various cultures and technologies to promote global innovation and discovery. Key principles include openness and community-driven efforts, with deliverables that remove barriers for data sharing and create enabling infrastructure. The RDA is growing its community and established multiple working groups to address data use and exchange, with a call to engage and contribute towards achieving its goals.
RDAP13 Mark Parsons: The Research Data Alliance: Making Data Work
- 1. The Research Data Alliance: Making Data Work Mark A. Parsons and Francine Berman Rensselaer Polytechnic Institute Research Data Access and Preservation Summit 13 Baltimore, MD 4 April 2013 Unless otherwise noted, the slides in this presentation are licensed by Mark A. Parsons under a Creative Commons Attribution-Share Alike 3.0 License
- 2. Digital Data has hit the “Tipping Point” as a Global Priority Fran Berman
- 3. "Data Deluge," Brett Ryder, The Economist, Feb. 2010
- 4. Diverse snow crystal photos by Kenneth G. Libbrecht snowcrystals.com
- 5. All of society’s grand challenges require diverse (often large) data to to be shared and integrated across cultures, scales, and technologies.
- 6. Research Data Alliance Vision Researchers around the world sharing and using research data without barriers. Purpose to accelerate international data-driven innovation and discovery by facilitating research data sharing and exchange, use and re-use, standards harmonization, and discoverability. through the development and adoption of infrastructure, policy, practice, standards, and other deliverables.
- 7. Principles • Openness • Consensus • Balance • Harmonization • Community Driven • Non-profit
- 8. Deliverables that make data work • Adopted code, policy, infrastructure, standards, or best practices that enable data to be shared and exchanged • “Harvestable” efforts for which 12-18 months of work can eliminate a roadblock for a substantial community • Efforts that have substantive applicability to “chunks” of the data community, but may not apply to everyone • Efforts for which working scientists and researchers can start today while more long-term or far-reaching solutions are appropriately discussed in other venues
- 9. Building Bridges • Bridges to the future • data preservation • Bridges to research partners • Bridges across disciplines • Bridges across regions • Bridges to integration • to solve new problems • Bridges across communities Juan Bicarregui
- 14. We need to start thinking about software in a way more like how we think about building bridges, dams, and sewers – Dan Bricklin, Software That Lasts 200 Years
- 19. Dynamics of Infrastructure Edwards, et al. 2007 Understanding Infrastructure: Dynamics, Tensions, and Design. • Infrastructures become “ubiquitous, accessible, reliable, and transparent” as they mature. • Staged evolu@on – “system-‐building, characterized by the deliberate and successful design of technology-‐based services.” – “technology transfer across domains and loca@ons results in varia@ons on the original design, as well as the emergence of compe@ng systems.” – Finally, “a process of consolida@on characterized by gateways that allow dissimilar systems to be linked into networks.”
- 20. Figure from F. Millerand based on Ecology of Infrastructure S. L. Star & K. Ruhleder (1996)
- 22. When is infrastructure? Who is infrastructure?
- 23. Proposal for organizational Framework RDA Strategy and Leadership: Council Responsible for overarching mission, vision, sustainability of RDA Organiza@onal Partners: Technical Leadership: Administra@ve RDA Membership Organisa:onal Advisory Technical Advisory Leadership: Group Board (TAB) Secretariat (OAG) Responsible for AdministraCon and Responsible for Technical Roadmap OperaCons Responsible for Process and Strategy Reference Document Community Impact: Working Groups Responsible for impacHul, outcome-‐oriented efforts Government Group (Science Agency Colloquium) Appropriate InternaConal R&D Agency Support Fran Berman
- 24. Leadership Model: Positive Deviance Positive deviance says that if you want to create change, you must scale it down to the lowest level of granularity and look for people within the social system who are already manifesting the desired future state. Take only the arrows that are already pointing toward the way you want to go, and ignore the others. Identify and differentiate those people who are headed in the right direction. Give them visibility and resources. Bring them together. Aggregate them. Barbara Waugh Slide courtesy Ted Habermann, NOAA
- 25. RDA Working Groups Create Enabling Infrastructure Data Use, Sharing and Exchange RDA Working Group Deliverables Community deployment of adopted / implemented infrastructure, tools, policy, prac@ce, standards facilita@ng data sharing and exchange RDA Working Group Deliverables Founda@ons Fran Berman
- 26. Working and Interest Groups Working Groups • UPC Code for Data • PID Information Types • Metadata Publishing Data • Data Type Registries • Defining Urban Data Exchange for • Data Foundation and Terminology Science The Engagement Group (pending) • Marine Data Harmonization • Practical Policy (pending) • Repository Audit and Certification • Preservation e-Infrastructure Interest Groups: • Contextual Metadata • Legal Interoperability • Community Capability Model (Joint w/ CODATA) • Big Data Analytics • The Engagement Group
- 27. Current Status Growing the Community Growing the Organization • ~300 Members • Initial Council and Secretariat • 15 Interest and Working Groups forming established with Website, • Task forces to address technical Forums, Mailing Lists etc. issues and organizational members • Multiple workshops leading to and affiliates Launch and first Plenary 18-19 • Sponsorship form US, EC, and March Australia • 31 countries, 5 continents (no S. America) • >200 participants • >6,500 tweets on #rdalaunch
- 28. “T=0” - 18 March 2013: We are here! Launch from Göteborg! Be involved: – Help RDA live up to its aspirations: • focused effort, • tangible progress, • maximum impact – Work with colleagues to create Working Groups that will make a difference to the research community – Get involved in RDA component groups – Register and participate at rd-alliance.org Fran Berman
- 29. Fran Berman
- 30. Next Plenary: 16-18 September 2013 National Academy of Sciences Washington DC Fran Berman 29
- 31. Some of the Players • Steering Group - Fran Berman, US • Initial Council: - Juan Bicarregui, UK – John Wood, EU - Leif Laaksonen, EU – Ross Wilkinson, AU - Beth Plale, US – Fran Berman, US - Andrew Treloar, AU - Ross Wilkinson, AU • Secretariat: - Peter Wittenburg, EU – Herman Stehouwers, EU - John Wood, EU – Stefanie Kethers, AU – Mark Parsons, US • Task Groups - Technical Advisory • Sponsors Board – NSF, in-kind support from - Organizational members NIST and affiliates – Australian National Data - Outreach and Comm. Service – European Commission - Plenary 2
- 32. What can RDA do for RDAP and ASIS&T? Questions and comments to: enquiries@rd-alliance.org