SEAD and Data Conservancy Announce Collaboration: Data Conservancy and SEAD, an NSF DataNet-funded cyberinfrastructure development project led by the University of Michigan, have announced a collaboration that will enable the SEAD project to use Data Conservancy code modules for use in the SEAD system. This partnership will help to foster the development of enhancements to the current Data Conservancy code structure with the prospect of creating a more robust, sustainable data archive, particularly as it relates to connections with institutional repositories. In describing the benefits of this collaboration, SEAD co-PI Beth Plale stated, "The data models from Data Conservancy have been tested with several user communities. While our effort will be to extend this to our community, the path to acceptance will be shorter because we are using data models that have been community vetted."
