The Research Data Alliance: Making Data Work Mark A. Parsons Rensselaer Polytechnic Institute ESIP Summer Meeting 12 July 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
All of society’s grand challenges require diverse (often large) data to to be shared and integrated across cultures, scales, and technologies.
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.
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
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.” ¡
Figure derived from F . Millerand Ecology of Infrastructure based on S. L. Star & K. Ruhleder (1996)
When is infrastructure?
When is infrastructure? Who is infrastructure?
Deliverables that make data work “Create - Adopt - Use” • Adopted code, policy, infrastructure, standards, or best practices that enable data sharing • “Harvestable” e ff orts for which 12-18 months of work can eliminate a roadblock RDA Principles • E ff orts that have substantive applicability to groups Openness within the data community, but may not apply to all Consensus Balance Harmonization • E ff orts for which working scientists and researchers can start today Community Driven Non-profit
RDA Organizational Framework
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
Current Status: RDA Community = > 700 participants from 44+ countries Greece Portugal Albania Iceland Russia Australia India Serbia Austria RDA ¡by ¡Sector Singapore Bangladesh Iran Belgium South Africa Ireland Bulgaria South Korea Italy Brazil Spain Japan Canada Sweden Krygrystan China Switzerland Congo Kuwait Taiwan Czech Republic Netherlands Turkey Denmark Academics ¡(61%) New Zealand United Arab Private ¡Sector ¡(21%) Estonia Norway Emirates Public ¡Sector ¡(11%) Finland Unknown ¡(8%) Palestine United Kingdom France Germany Poland United States Fran Berman Fran Berman
RDA vis-a-vis ESIP How RDA is like ESIP How RDA is di ff erent • Want to make data work! • International and regional • Bottom up. Driven by the interests • Domain agnostic and all inclusive of the members • Individual membership • Supported by government agencies • A ffi liate organizations • Organizational membership • Formally structured WGs with defined deliverables • Tactical focus, less interest in broader strategic issues
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 Founda6ons Fran Berman
Working Groups and ESIP RDA Working Groups ESIP Collaborations • Air Quality • Data Type Registries • CF Standards • PID Information Types • Climate and Agriculture • Climate Education • Standardization of data categories and • Cloud Computing codes, working specifically with the • Preservation and Stewardship • Data Management Training ISO 639 (human languages) • Decisions • Data Foundation and Terminology • Discovery (pending) • Drupal • Earth Science Collaboratory • Practical Policy (pending) • Energy and Climate • Education • Community Capability Model (in • Geospatial review) • Information Quality • Information Technology and Interoperability • Data Citation: Making Data Citable (in • Internal Education review) • Products and Services • Semantic Web • Metadata Standards (in review) • Visualization
Working Groups and ESIP RDA Working Groups ESIP Collaborations • Data Type Registries • CF Standards • PID Information Types • Cloud Computing • Data Foundation and Terminology • Preservation and Stewardship (pending) • Discovery • Practical Policy (pending) • Earth Science Collaboratory • Community Capability Model (in • Information Quality review) • Information Technology and • Data Citation: Making Data Citable Interoperability (in review) • Semantic Web • Metadata Standards (in review)
Interest Groups and ESIP RDA Interest Groups ESIP Collaborations • Air Quality • Agricultural Data Interoperability • CF Standards • Brokering • Climate and Agriculture • Legal Interoperability • Climate Education • Cloud Computing • Metadata Standards Directory • Preservation and Stewardship • Preservation e-Infrastructure • Data Management Training • Repository Audit and Certification • Decisions • Discovery • Structural Biology • Drupal • The Engagement Group • Earth Science Collaboratory • Big Data Analytics • Energy and Climate • Education • Data in Context • Geospatial • Defining Urban Data Exchange for Science • Information Quality • Marine Data Harmonization • Information Technology and Interoperability • Internal Education • Publishing Data • Products and Services • UPC Code for Data • Semantic Web • Digital Practices in History and Ethnography • Visualization
Interest Groups and ESIP RDA Interest Groups ESIP Collaborations • Agricultural Data Interoperability • Air Quality • Brokering • CF Standards • Climate and Agriculture • Legal Interoperability • Metadata Standards Directory • Cloud Computing • Preservation e-Infrastructure • Preservation and Stewardship • Repository Audit and Certification • Decisions • The Engagement Group • Discovery • Big Data Analytics • Earth Science Collaboratory • Data in Context • Energy and Climate • Defining Urban Data Exchange for Science • Geospatial • Marine Data Harmonization • Information Quality • Publishing Data • Information Technology and Interoperability • UPC Code for Data • Semantic Web
Get involved! • Join RDA as an individual member supporting our principles at http://rd-alliance.org • Join as an Organizational Member (nominal fee) or an Organizational A ffi liate (jointly sponsored e ff orts) • Initiate or join an Interest Group • Propose or join a Working Group • Attend the RDA Plenaries https://www.rd-alliance.org/future-events • Nominate yourself or someone else for the Technical Advisory Board https://www.rd-alliance.org/rda-tab.html
Next Plenary: 16-18 September 2013 National Academy of Sciences Washington DC RDA Plenary 3 in Dublin Ireland, March 26-28 2014, hosted by Australia and Ireland
Questions and comments to: enquiries@rd-alliance.org or parsom3@rpi.edu
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