Triennial Review of the National Nanotechnology Initiative (2013) / Chapter Skim
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4 Metrics, Definitions of Success, and Data
4 Metrics, Definitions of Success, and Data
Pages 52-66
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From page 52... ...
3. To develop and sustain educational resources, a skilled workforce and the supporting infrastructure and tools to advance nanotechnology.
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From page 53... ...
In particular, the kinds and formats of data collected by the participating agencies are neither mutually compatible nor readily shared among the agencies. However, progress toward achieving the four NNI goals is currently reported by NNI in largely anecdotal form in the annual NNI supplements to the President's budget.
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From page 54... ...
However, at present the kinds and formats of data collected by the participating agencies are neither mutually compatible nor readily shared among the agencies. Finding: The NSET Subcommittee and the NNCO could gather and aggregate such already existing information across agencies and bring the data and asso ciated metrics to bear to assess progress toward NNI goals.
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a Several agencies provide examples of successful projects, some provide numerical data, and some present short summaries without many details. Interagency activities are reported in the same manner.
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This combination of subjective evaluations and quantitative output metrics has evolved to support a model of academic success for faculty at different career stages and performance levels, from assistant to full professor. Dependence on the subjective evaluation of a group of experts chosen for some mix of technical expertise, judgment, and breadth of knowledge of the field is key to this approach.
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From page 57... ...
For example, although the NSF Star Metrics project5 has many promising characteristics, it also presents grounds for concern. Directly accessing institutional humanresources databases to automate data collection on personnel, for example, seems excellent, but the software algorithms used to parse project summaries to identify emerging fields of research may not be ready for application.
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From page 58... ...
Goal 3: Develop and sustain educational resources, a skilled workforce, and the supporting infrastructure and tools to advance nanotechnology. • A nanotechnology scientific and technical workforce is being trained and educated, and it contributes effectively to the U.S.
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Data Sets Essential to NNI Assessment Based on these definitions of success, the committee identified one critical data set and eight additional data sets needed to assess the current state of the NNI and determine progress toward NNI goals.
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2. Published documents arising from NNI activities, including papers, pat ents, reports, material safety data sheets, and conference summaries.
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The purpose of this data set is to provide multiple indicators of the effectiveness of co-locating equipment, tools, and experienced person nel in specialized centers to address nanotechnology challenges. The data should provide insights as to best practices for center and network research management when used in conjunction with other information about management practices.
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From page 62... ...
8. U.S.-based nanotechnology job advertisements, including all direct and i ndirect jobs pertaining to nanoscale expertise in the government, educa tion, and commercial sectors.6 The purpose of collecting this data set is to provide an indicator of demand for an educated nanotechnology workforce.
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From page 63... ...
The committee recognizes the variable and potentially significant cost associated with collecting the proposed data sets and leaves it to the NSET Subcommittee and the NNI agencies to identify an efficient and workable manner in which to collect the data, with a priority given to the first data set. Recommendation 4-2: The NSET Subcommittee and the NNCO should obtain data-mining expertise to undertake the collection and collation of essential data sets, develop tools to analyze the data in accordance with the management and reporting needs of the NNCO and the agencies, and manage the process of making the data sets publicly available.
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From page 64... ...
Agencies that fund NNI research should support and require infrastructure development in the course of any research on commercialization metrics. The NNCO and NNI agencies should also encourage private firms to make their bibliometric tools and databases public.
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From page 65... ...
The ORCID approach aims to solve the name-ambiguity problem in scholarly communications by creating a registry of persistent unique identifiers for individual researchers and an open and transparent linking mechanism between ORCID, other ID schemes, and research objects, such as publications, grants, and patents.7 Use of ORCID is now required for publication in American Physical Society journals. It will not be applied to publications retroactively and so cannot be used for historical study.
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From page 66... ...
66 Triennial Review of the N at i o n a l N a n o t e c h n o l o g y I n i t i at i v e FIGURE 4.1 An idealized schematic that illustrates potential linkages between databases that would permit the impact of a research investment to be linked to publications and patents, personnel mobility, and social and economic outcomes. EPO, European Patent Office.
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