Capturing Change in Science, Technology, and Innovation Improving Indicators to Inform Policy (2014) / Chapter Skim
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8 Informing the Strategic Planning Process
8 Informing the Strategic Planning Process
Pages 101-110
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From page 101... ...
collaborative research on new and revised STI indicators, • NCSES is recognized worldwide by statistical agenand establishment of a chief analyst position at NCSES. cies and organizations in other countries as a leader Although data quality is the principal priority for a statistical in the development and curation of human resources agency, the setting of relative priorities among the remaining statistics.
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From page 102... ...
; and the establishment of the posi international comparability of a variety of STI indica- tion of a chief analyst who would interface with the users of tors, including patent-based indicators, the careers of NCSES's products to monitor changes in demand and would doctorate holders, statistics on Chinese STI perfor- make recommendations on methods and data sources for the mance, and cognitive testing of surveys on R&D and STI indicators program (Recommendation 8-5)
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From page 103... ...
allocating resources to more timely release of final land described how infrastructure datasets could be fully products by reengineering every component of the process integrated to track the career histories of innovators and from survey development and sourcing of raw data through entrepreneurs and the relationships between start-up, young, publication processes and media for distribution. NCSES's high-growth firms and large, mature firms (see Chapter 4 strategic planning process for its STI indicators program for more detail)
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From page 104... ...
Not all of the methodological issues raised by data Development of a Chief Analyst Position analysis -- whether by staff or outside researchers -- can be solved by staff or by methodologists in other agencies. The four recommendations offered thus far in this chapNCSES has an opportunity, through its own and other NSF ter relate to data quality, broadly defined, as a bedrock of granting programs, to support research on the methodology NCSES's STI indicators program, data linkages and sharing of data production, including survey methods, data linkage, to permit the development of new and improved indicators, estimation, and quality control.
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From page 105... ...
The new unit should include a position of chief analyst, Considerations for Prioritization analogous to the current position of chief statistician but with a different portfolio. The chief analyst should not man- The panel believes that all pathways outlined in this age the unit but instead provide substantive leadership and chapter are important for NCSES to include in its strategic communication across units within NCSES and with other plan for its STI indicators program, although the agency will agencies and organizations to develop NCSES's STI indica- undoubtedly need to prioritize them with respect to the pace tors program in ways that are most useful for the policy and and specifics of implementation.
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From page 106... ...
Better industries (Recommendations 6-1 through 6-7) also access to BRDIS data by NCSES staff is imperative will depend on the cultivation of existing datasets and for the timely distribution of such statistics to the the development of new techniques for using business users of STI indicators (Recommendation 4-3)
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From page 107... ...
NCSES should also develop a processes. The goal is a process of feedback and improve- strategic plan for adding new indicators or case ment for NCSES's STI indicators program -- and the data studies because doing so may require curtailing collections on which it draws -- to assist policy makers and the frequency of some of its current measures.
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From page 108... ...
sor Data Center at the National Science Foun dation should house the Business Research RECOMMENDATION 5-3: The National and Development and Innovation Survey data, Center for Science and Engineering Statistics improving access to the data for National Center (NCSES) should continue to report statistics on for Science and Engineering Statistics staff who knowledge-based capital and intangible assets develop the research and development statistics.
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From page 109... ...
both for subsequent survey cycles and for existing data; RECOMMENDATION 6-6: The National Cen • reate a dynamic database for researcher c ter for Science and Engineering Statistics should use in which data from the SDR over time consider using American Community Survey would be linked at the level of the individual; data to produce indicators that can be used to and track the salaries of science, technology, engi • nhance coverage of recent doctorate recipi e neering, and mathematics occupations and/or ents to better track their initial employment college graduates receiving degrees in different and career path in the first years after they fields and at different degree levels. receive their Ph.D, which could potentially be accomplished by including an additional RECOMMENDATION 6-7: The National module in the SDR or by exploiting that Center for Science and Engineering Statistics survey's longitudinal capacities or both.
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From page 110... ...
should pursue the use of text processing for should collaborate with university researchers developing science, technology, and innovation on the use of data science techniques to under indicators in the following ways: stand the science, technology, engineering, and mathematics ecosystem, using a mechanism • xplore synergies with National Science e similar to existing National Science Foundation Foundation directorates that fund research university-industry partnerships. One or two on text processing; and graduate students or postdoctoral fellows could • nable NCSES staff to attend and develop e alternate between working at NCSES and at workshops that bring together researchers their home institution for up to 2 years, with working on text processing and on under- the specific goal of contributing new findings to standing the science, technology, engineer- NCSES's data and indicators programs.
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