Standards and Infrastructure for Innovation Data Exchange
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Issue Date
2012-10-12Author
Haak, Laurel L.
Baker, David
Ginther, Donna K.
Gordon, Gregg J.
Probus, Matthew A.
Kannankutty, Nirmala
Weinberg, Bruce A.
Publisher
American Association for the Advancement of Science
Type
Article
Article Version
Scholarly/refereed, author accepted manuscript
Version
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3774837/
Metadata
Show full item recordAbstract
Economic growth relies in part on efficient advancement and application of research and development (R&D) knowledge. This requires access to data about science, in particular R&D inputs and outputs such as grants, patents, publications, and data sets, to support an understanding of how R&D information is produced and what affects its availability. But there is a cacophony of R&D-related data across countries, disciplines, data providers, and sectors. Burdened with data that are inconsistently specified, researchers and policy-makers have few incentives or mechanisms to share or interlink cleaned data sets. Access to these data is limited by a patchwork of laws, regulations, and practices that are unevenly applied and interpreted (1). A Web-based infrastructure for data sharing and analysis could help. We describe administrative and technical demands and opportunities to meet them. Data exchange standards are a first step.
Description
This is the author's accepted manuscript. The original publication is available at http://www.sciencemag.org/content/338/6104/196.
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Citation
Laurel L. Haak, David Baker, Donna K. Ginther, Gregg J. Gordon, Matthew A. Probus, Nirmala Kannankutty, and Bruce A. Weinberg. 2012. "Standards and Infrastructure for Innovation Data Exchange." Science 338(6104):196-197. http://www.dx.doi.org/10.1126/science.1221840
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