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, MDD develops reference data to:
- 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
- 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.