[Here is another great example of how the research community can leverage commercial cloud services to develop pressing solutions for the preservation, archiving and provenance of scientific data.
“Big increases in data generated within research laboratories, and demands for more careful data management, lead to increased pressure on investigators. Researchers need, not just data storage, but full--service data lifecycle management processes, encompassing data collection, storage, sharing, metadata, search, a rchiving, provenance, assignment of D OIs, security, etc. Establishing and efficiently executing such processes would demand substantial time and resources that most researchers do not have, and cannot easily acquire. We believe that the solution to this problem is not simply to define “best practices”—nor to provide researchers with software. Instead, we should aim to outsource the entire lifecycle management process to a third party Research Data Lifecycle Management service, developed and operated by dedicated staff who are experts at performing relevant tasks reliably, securely, and at scale. Ideally, this service will encompass discipline--] specific practices and methods, so that the individual researcher can connect their lab and have their mundane IT tasks taken care of— much as many small companies outsource their email, payroll, customer relationship management, and other mundane tasks to software--as-- a--] service (SaaS) providers today. The Computation Institute is working to develop such a system. The Globus Online team is working to establish a campus deployment of what we intend to be a state--of--the-- art Research Data Lifecycle Management service. We will use Globus Online to implement data management logic, both Amazon and local storage, campus credentials for authentication, and a set of UChicago and Argonne researchers and their laboratories (both small and large, and from a range of disciplines) to evaluate effectiveness. “Research Data LifeCycle Management as a Service
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