GUIDANCE TO POTENTIAL PROPOSERS

A primary feature of successful CI PAOS projects is a robust, synergistic collaborative team comprising skills from across communities of science/engineering, research data science, and information science discipline(s) and expertise in leveraging connections between cyberinfrastructure researchers and providers and data specialists. Leveraging international collaboration to build shared norms and address challenges related to developing and implementing PAOS policies and practices is encouraged. Research and education in science and engineering benefit immensely from international cooperation. Proposals with an international component are also welcome [See: International Collaborations Opportunities at NSF]. Proposers must target one or more of the following themes/pathways:Competency Building, Capability Building, and/or Community Building.

Competency Building

Open science/engineering-driven collaboration. A socio-technical collaborative approach in addressing disciplinary, interdisciplinary, domestic, and international data lifecycle challenges is critical to informing and guiding the development of principles, requirements, and standardsof a CI ecosystem that fosters pipelines to good data management and pathways to access.Proposals should clearly describe the goals, challenges, and rationale for the proposed data science and engineering project and include an explanation of the potential for transformative research and broader impacts on the open science ecosystem [See: U.S. NSF Broader Impacts].Successful proposals will also clearly identify utilization science scenarios and use cases.

Capability Building

Exploratory and pilot activities.