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From page 95... ...
MML should actively encourage its researchers to document facilities issues and all associated time lost repeating experiments, and the portion of the research budget spent on working around facility issues. The identified infrastructure issues also represent safety issues: floods can easily lead to sparks that can in turn initiate fires; inadequate exhaust will lead to contaminated laboratory air that can negatively impact research product quality and in the long term can impact the health of research staff.
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From page 96... ...
The balance of maintaining legacy SRM versus repurposing those redirecting limited resources toward producing SRM and SRD in new and emerging areas presents both a challenge and an opportunity. MML notes that areas of new opportunities include the bioeconomy and engineering biology, data science and engineering, and artificial intelligence, and the circular economy.
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From page 97... ...
Key Recommendation 5: To the extent possible, the Material Measurement Laboratory should launch an initiative to unify all computational systems, data formats, and data transmission protocols into a single, uniform platform for more efficient and effective data curation, storage, processing, transmission, and security management. This data science initiative could be applied to machine learning deployment and expand capabilities in laboratory automation, high-performance computing, and artificial intelligence.
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From page 98... ...
Biosystems and Biomaterials Division Recommendation 4-1: Owing to increasing demands on the unit resulting from new bioeconomy initiatives, the Material Measurement Laboratory should prioritize allocations to the Biosystems and Biomaterials Division within budgetary constraints to ensure adequate support and the Biosystems and Biomaterials Division should continue to prioritize its efforts mindful of its limited budget. Recommendation 4-2: The Material Measurement Laboratory leadership should evaluate space allocations to co-locate the Biosystems and Biomaterials Division in a single building with adequate temperature, humidity, and power control for continuous instrument function.
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From page 99... ...
The Chemical Sciences Division should continue to prioritize internal and external collaboration as a solution to maintaining the significant breadth and depth of expertise. Materials Measurement Science Division Recommendation 7-1: The Materials Measurement Science Division should consider leveraging its focus area and core competency and capabilities matrix structure to manage the challenge of balancing ongoing base work with the needs of critical emergent initiatives, such as the CHIPS and Science Act of 2022.
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From page 100... ...
Materials Science and Engineering Division Recommendation 8-1: The Materials Science and Engineering Division should develop more coordinated technical and stakeholder engagement plans for its effort in carbon dioxide capture and the circular economy of plastics and track the long-term impacts of the division's programs on the nation's economy and related innovations. Recommendation 8-2: The Materials Science and Engineering Division should launch an initiative to unify its computational systems, data formats, and data transmission protocols into a single, uniform platform for more efficient and effective data curation, storage, processing, transmission, and security management.
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From page 101... ...
Recommendation 9-4: The Material Measurement Laboratory should enter more information in the NIST Public Data Repository field to explain why data set metrics are not available where that is the case. Recommendation 9-5: The Material Measurement Laboratory should strengthen its commitment to the Office of Data and Informatics by establishing clear data governance and data policies.
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From page 102... ...
2021. An Assessment of the Material Measurement Laboratory at the National Institute of Standards and Technology: Fiscal Year 2020.
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