Early in 2022, NIST embarked on a pilot project to produce digital calibration reports and digital certificates of analysis for reference materials. The goal is to produce examples of digital reports and certificates to assess the scope and challenges of digital transformation in those particular measurement services. This paper focuses on the Reference Material Certificate effort of the pilot project.
View Article and Find Full Text PDFResearch organizations are critically in need of directed growth toward future interoperability and federation. The purpose of this Viewpoint is to alert the government, academia, professional societies, foundations, and industries of a further need for consideration of data in chemistry and materials as a long-term and sustained development in the US. This paper is a call for coordinated action from the government, academia, and industry to establish a national strategy and concomitant infrastructure focused on research data.
View Article and Find Full Text PDFAs a result of a number of national initiatives, we are seeing rapid growth in the data important to materials science that are available over the web. Consequently, it is becoming increasingly difficult for researchers to learn what data are available and how to access them. To address this problem, the Research Data Alliance (RDA) Working Group for International Materials Science Registries (IMRR) was established to bring together materials science and information technology experts to develop an international federation of registries that can be used for global discovery of data resources for materials science.
View Article and Find Full Text PDFAs a National Metrology Institute (NMI), the USA National Institute of Standards and Technology (NIST) scientists, engineers and technology experts conduct research across a full spectrum of physical science domains. NIST is a non-regulatory agency within the U.S.
View Article and Find Full Text PDFJ Res Natl Inst Stand Technol
September 2019
We report on a workshop held 1-3 May 2018 at the National Physical Laboratory, Teddington, U.K., in which the focus was how the world's national metrology institutes might help to address the challenges of reproducibility of research.
View Article and Find Full Text PDFAdvances in machine learning in medical imaging are occurring at a rapid pace in research laboratories both at academic institutions and in industry. Important artificial intelligence (AI) tools for diagnostic imaging include algorithms for disease detection and classification, image optimization, radiation reduction, and workflow enhancement. Although advances in foundational research are occurring rapidly, translation to routine clinical practice has been slower.
View Article and Find Full Text PDFThe current push for rigor and reproducibility is driven by a desire for confidence in research results. Here, we suggest a framework for a systematic process, based on consensus principles of measurement science, to guide researchers and reviewers in assessing, documenting, and mitigating the sources of uncertainty in a study. All study results have associated ambiguities that are not always clarified by simply establishing reproducibility.
View Article and Find Full Text PDFPurpose: This study looks at the changing way in which the Information Services Office (ISO) at the National Institute of Standards and Technology (NIST) provides services to NIST scientific and technical staff throughout their research and publishing cycles. These services include the more traditional services of a research library as well as publishing NIST technical reports and , and preserving and exhibiting scientific instruments and other artifacts. ISO has always prided itself on having a close relationship with its customers, providing a high level of service, and developing new services to stay in front of NIST researcher needs.
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