Journal:Building open access to research (OAR) data infrastructure at NIST

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Full article title Building open access to research (OAR) data infrastructure at NIST
Journal Data Science Journal
Author(s) Greene, Gretchen; Plante, Raymond; Hanisch, Robert
Author affiliation(s) National Institute of Standards and Technology
Primary contact Email: gretchen dot greene at nist dot gov
Year published 2019
Volume and issue 18(1)
Page(s) 30
DOI 10.5334/dsj-2019-030
ISSN 1683-1470
Distribution license Creative Commons Attribution 4.0 International
Website https://datascience.codata.org/articles/10.5334/dsj-2019-030/
Download https://datascience.codata.org/articles/10.5334/dsj-2019-030/galley/861/download/ (PDF)

Abstract

As a National Metrology Institute (NMI), the U.S. 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. Department of Commerce with a mission to promote U.S. innovation and industrial competitiveness by advancing measurement science, standards, and technology in ways that enhance economic security and improve our quality of life. NIST research results in the production and distribution of standard reference materials, [[calibration services, and datasets. These are generated from a wide range of complex laboratory instrumentation, expert analyses, and calibration processes. In response to a government open data policy, and in collaboration with the broader research community, NIST has developed a federated Open Access to Research (OAR) scientific data infrastructure aligned with FAIR (findable, accessible, interoperable, reusable) data principles. Through the OAR initiatives, NIST's Material Measurement Laboratory Office of Data and Informatics (ODI) recently released a new scientific data discovery portal and public data repository. These science-oriented applications provide dissemination and public access for data from across the broad spectrum of NIST research disciplines, including chemistry, biology, materials science (such as crystallography, nanomaterials, etc.), physics, disaster resilience, cyberinfrastructure, communications, forensics, and others. NIST's public data consist of carefully curated Standard Reference Data, legacy high valued data, and new research data publications. The repository is thus evolving both in content and features as the nature of research progresses. Implementation of the OAR infrastructure is key to NIST's role in sharing high-integrity, reproducible research for measurement science in a rapidly changing world.

Keywords: data repository, FAIR, research metadata, metrology, data portal, government

Introduction

References

Notes

This presentation is faithful to the original, with only a few minor changes to presentation. In some cases important information was missing from the references, and that information was added. The original article lists references alphabetically, but this version—by design—lists them in order of appearance.