DataNet Federation Consortium

Project: Research project

Project Details


DataNet Federation Consortium DataNet Federation Consortium Expanding Scientific Domain Usage of the DFC Kenneth Galluppi Professor of Practice and Associate Director, The Collaboratory Arizona State University A major difficulty in advancing new data management approaches for scientific domain use is demonstrating a sufficient productivity gain to justify the time and resources needed to learn, adopt, and change work habits and work flows, that is, new ways of doing things. There are many reasons to not change and few incentives to change. Overcoming barriers starts with understanding the user and what they are trying to achieve and not trying to sell a new way or new technology that is perceived to do tasks that are already being done. Understanding various domains use cases is a first step to understanding what the new system must be able to do in order to promote productivity gains, ultimately helping scientists discover and advance ideas. The second step is to creating a value proposition for scientists to want to change their practices. This scope focuses on the marketing of data management approaches of the DFC. Marketing is defined as creating and managing value. The approach is to first understand what defines value for scientists in managing data and how it is connected to advancing scientific work. Second, the value must be translated into operational practices in the DFC to show productivity or other value gains defined by scientists such as reduction in time and resources to accomplishing data tasks. There are fours basic objectives to be accomplished iteratively by this scope: 1. Develop marketing strategies for developing value propositions for scientists to be motivated to adopt DFC approaches. Strategy effectiveness will be measured by scientists feedback via interviews and surveys. 2. Explore a diverse set of use cases from scientific domains that help define requirements of new functions and capabilities. This task will attempt to generalize use case in broad terms such as support for modeling and analysis, data integration and federation, discovery/access/utility patterns, and managing collection of datasets. Success will be measured by scientific work being described and accomplished with the DFC infrastructure. 3. Expand and develop use cases and selected demonstrations of utility for the environmental, natural resources, and earth sciences. Scientists will provide critical feedback on the success of the demonstrations. 4. Develop and implement select demonstrations of utility for the bio/medical/healthcare communities, and the defense/security/emergency communities. Scientists will provide critical feedback on the success of the demonstrations. Natural Language to Policies to Rules
Effective start/end date9/1/138/31/17


  • National Science Foundation (NSF): $158,499.00


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