A major challenge to constructing such a scientific basis has been the lack of a data infrastructure designed to report on the impact of science investments. Science agencies typically have data systems set up to manage the financial and reporting aspects of awards, rather than the actual analysis of the impact. Research institutions have also not had a systematic way to report to stakeholders. Another major challenge is the difficulty of coupling science investments with a complex set of scientific, economic, social and workforce outcomes. This presentation discusses progress that has been made in building both a theoretical and an emprical foundation for science policy through NSF's SciSIP program, the federal interagency Science of Science Policy interagency group, and the STAR METRICS program.
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