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Data curation is a key component for ensuring that data is appropriately annotated to facilitate data sharing in a semantically interoperable fashion. Data curation activities on caNanoLab are currently performed by nanotechnology data scientists at Washington University and the Nanotechnology Characterization Laboratory (NCL). Data curators assist in extracting data from publications and nanotechnology experiments, annotating extracted data, and providing overall data quality control. If you are interested in submitting your data into caNanoLab, please contact the caNanoLab Users Listserv.

caNanoLab Architecture

caNanoLab leverages the caCORE SDK and caGrid technologies to develop, deploy, and advertise common services for nanomaterials and characterizations. For information on accessing caNanoLab grid services, please refer to the caNanoLab Grid Services Web Page. caNanoLab grid services are accessed through a variety of resources such as caB2B, caOBR, the GSS iPhone App, and caGrid Portal.