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Material Measurement Laboratory

Material Data Division

NIST's Material Data Division provides modern data infrastructure, data science capabilities, and modeling and simulation expertise to enable the Material Measurement Laboratory's technical staff to carry out NIST’s mission.

The Material Data Division (MDD), formerly the Office of Data and Informatics, provides modern data infrastructure, data science capabilities, and modeling and simulation expertise to enable the Material Measurement Laboratory (MML) technical staff to carry out NIST’s mission. In partnership with U.S. industry, federal agencies, and other stakeholders, MMD develops reference data to:

  1. Establish the accuracy of measurement methods, including those evolving from emerging automated laboratories technologies, and theoretical approaches, including modeling, simulation, and AI/ML, that describe chemical, materials, and biological systems essential to the competitiveness of the U.S. economy, and
  2. Help fill key data gaps germane to MML’s core competencies in critical emerging technologies. MDD supports dissemination of reference data to stakeholders and manages the NIST’s Standard Reference Data program.

News and Updates

120 Years of Data at NIST

In celebration of the 50 th anniversary of the founding of the Journal of Physical and Chemical Reference Data (JPCRD), two NIST scientists have published a...

Projects and Programs

MGI goals

Materials Informatics

Ongoing
To develop the need data infrastructure and informatics tools, NIST is focusing on three areas: data curation, data infrastructure, and data access. Data curation efforts include efforts to develop a phase-based materials ontology to ensure that the data is represented in a semantically...
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METIS

Ongoing
A Metrology Exchange to Innovate in Semiconductors

NIST Materials Resource Registry

Ongoing
The MRR is a comprehensive inventory of high-level data collections, repositories, databases, tools, software, and services useful to materials research and design but located anywhere in the world. Its specialization for Materials Science is in the domain-specific metadata and vocabulary it can...
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Research Data Framework (RDaF)

Ongoing
What is the Research Data Framework? A map of the research data space: who, what, where, why, when? A dynamic guide for the various stakeholders in research data to understand best practices for research data management and dissemination A resource for understanding costs, benefits, and risks...

Awards

Contacts

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