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Adoption of RDA Outputs
RDA Outputs are the technical and social infrastructure solutions developed by RDA Working Groups that enable data sharing, exchange, and interoperability. Their impact is their use to solve problems and their adoption and incorporation in infrastructure environments by individuals, projects and organizations. RDA/US seeks to expand adoption of RDA outputs and hence their impact within the U.S.
At this time, RDA has developed more than twelve outputs, completing its first set of infrastructure deliverables set forth at its formation in 2013. Visit RDA's global website to view RDA's current listing of Outputs.
RDA/US designated 2015 as the “year of adoption” and planned several efforts to amplify and increase the adoption of RDA outputs. At RDA’s 5th Plenary in San Diego California, held in March 2015, RDA/US hosted “Adoption Day.” Sited at the San Diego Supercomputer Center, this event provided an opportunity for the adopters of RDA outputs to share how RDA infrastructure can impact data sharing both within the U.S. and abroad, discuss their experiences with adoption, and engage with potential new adopters. Learn more about this event by visiting the global RDA website.
Also in this year, RDA/US launched the “Adoption Seed Project,” which specifically supported the following four U.S. organizations in adopting RDA outputs.
|Organization||Adopted RDA Output||Impact|
|The Materials Genome Initiative at Kent State University||RDA’s Data Type Registry and PID Outputs||Contribute to MGI's goal of accelerating the pace of discovery and deployment of advanced material systems|
|Platform for Experimental Collaborative Ethnography at Rensselaer Polytechnic Institute||RDA’s Practical Policy prototype and recommendations||Enable easier compliance with data management expectations of funding agencies while increasing collaboration and data sharing among empirical humanities researchers.
|DataFed.net at Washington University, St. Louis||RDA’s Data Foundation and Terminology recommendations||
Facilitate data interoperability among all disciplines
|Deep Carbon Observatory at Rensselaer Polytechnic Institute||Data Type Registry and PID Information Type recommendations||
Delivers data communities persistently identifiable and understandable data type information
If you are interested in learning more or participating in this initiative, please contact us at email@example.com.