Data & informatics

News and Updates

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Modernizing iEdison: Upgrading the Database for Reporting Inventions

November 4, 2021

The iEdison platform was designed in the 1990’s by the National Institute of Health as a means for awardees of federal funding to report their inventions

Face Recognition Software Shows Improvement in Recognizing Masked Faces

December 1, 2020

A new study of face recognition technology created after the onset of the COVID-19 pandemic shows that some software developers have made demonstrable progress

Digital graphic creation; A computer monitor with wired mouse and keyboard.

Providing NIST Guest Researchers with the Tools they Need

October 13, 2020

NIST is made up of a wide array of professionals from many different backgrounds, from science and engineering to communications, information technology, and

Projects and Programs

Trusted AI framework for a new class of Standard Reference Materials and Data with exquisitely characterized uncertainty for billions of properties

Ongoing

A new collaboration between NIST's Human Genomics Team, Mass Spectrometry Data Center, and Information Technology Laboratory to use and develop artificial

This research data lifecycle has six stages: Envision; Plan; Generate/Acquire; Process/Analyze; Share/Use/Reuse; and Preserve/Discard

Research Data Framework (RDaF)

Ongoing

In the past decade, research data have become widely recognized as a critical national and global resource, and the risks of losing or mismanaging research data

A digital object is composed of Data, Metadata, Protocols & Operations, and Persistent Identifiers.

Facilitating the Adoption of the FAIR Digital Object Framework in Material Science

Ongoing

With increasing use of data-driven methodologies, concerns around data discovery, data access, and data interoperability have come to the forefront. Communities

Genome in a Bottle

Ongoing

Consortium hosted by NIST dedicated to authoritative characterization of benchmark human genomes. Sign up for General GIAB and Analysis Team email lists. Public

Publications

NIST Conference Papers Fiscal Year 2018, Volume 2: Communications Technology Laboratory, Information Technology Laboratory, and Material Measurement Laboratory

January 3, 2022

Author(s)

Kathryn Miller

NIST is committed to the idea that results of federally funded research are a valuable national resource and a strategic asset. To the extent feasible and

NIST Conference Papers Fiscal Year 2018, Volume 1: Engineering Laboratory

January 3, 2022

Author(s)

Kathryn Miller

NIST is committed to the idea that results of federally funded research are a valuable national resource and a strategic asset. To the extent feasible and

NIST Conference Papers Fiscal Year 2018, Volume 3: Physical Measurement Laboratory and NIST Center for Neutron Research

January 3, 2022

Author(s)

Kathryn Miller

NIST is committed to the idea that results of federally funded research are a valuable national resource and a strategic asset. To the extent feasible and

Atomistic Line Graph Neural Network for Improved Materials Property Predictions

December 5, 2021

Author(s)

Kamal Choudhary, Brian DeCost

Graph neural networks (GNN) have been shown to provide substantial performance improvements for atomistic material representation and modeling compared with

Software

The NIST Data Alignment Tool

June 18, 2019

The Data Alignment Tool (DAT) was built to assist with the analysis of data used in testing fault detection and diagnostics (FDD) tools and building

Extreme Winds and Wind Effects on Structures

The Engineering Laboratory has an established long-term collaboration with the NIST Statistical Engineering Division in the analysis of extreme wind speeds and

Curated Archive for COVID-19 Research Challenge Dataset (cord19-cdcs-nist)

This GitHub repository contains a downloadable snapshot of National Institute of Standards and Technology's COVID-19 Data Repository, curated from the COVID-19

RECIPE

RECIPE is a FORTRAN program for determining one-sided tolerance limits (in particular, A- and B-basis material property values) for regression models in the

Tools and Instruments

High Throughput (Combinatorial) Screening Tool for Characterization of Thin Film Thermoelectrics as a Function Temperature

High-throughput (combinatorial) metrologies have evolved as a useful approach to rapidly determine the composition-structure-property relationships for novel

Awards

Aaron Gilad Kusne Named APS Fellow

For pioneering work on applications of machine learning for automated delineation of materials phase diagrams, and for the development of

Robert Hanisch Honored as Fellow of the American Astronomical Society

AAS Fellows are recognized for their contributions toward the AAS mission of enhancing and sharing humanity's scientific understanding of

Data & informatics

Data and informatics Topics

News and Updates

Projects and Programs

Publications

Software

Tools and Instruments

Awards