Building Open Access to Research (OAR) Data Infrastructure at NIST

Q2 Computer Science Data Science Journal Pub Date : 2019-07-08 DOI:10.5334/dsj-2019-030
Gretchen Greene, R. Plante, R. Hanisch
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引用次数: 3

Abstract

As 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. 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.
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在NIST建立开放存取研究(OAR)数据基础设施
作为国家计量研究所(NMI),美国国家标准与技术研究所(NIST)的科学家、工程师和技术专家在物理科学领域进行全方位的研究。NIST是美国商务部下属的一个非监管机构,其使命是通过推进测量科学、标准和技术,以增强经济安全和改善我们的生活质量,促进美国的创新和工业竞争力。NIST在标准参考材料、校准服务和数据集的生产和分发方面的研究成果。这些是由各种复杂的实验室仪器、专家分析和校准过程产生的。为了响应政府的开放数据政策,并与更广泛的研究团体合作,NIST开发了一个联邦开放获取研究(OAR)科学数据基础设施,与FAIR(可查找、可访问、可互操作、可重用)数据原则保持一致。通过OAR计划,NIST的数据和信息学材料测量实验室办公室(ODI)最近发布了一个新的科学数据发现门户和公共数据存储库。这些面向科学的应用程序为NIST研究学科的广泛数据提供传播和公共访问,包括化学、生物学、材料科学(如晶体学、纳米材料等)、物理学、灾难恢复力、网络基础设施、通信、法医学等。NIST的公共数据包括精心策划的标准参考数据、遗留的高价值数据和新的研究数据出版物。因此,随着研究性质的进展,存储库在内容和功能上都在不断发展。OAR基础设施的实施是NIST在快速变化的世界中共享测量科学高完整性可重复研究的关键。
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来源期刊
Data Science Journal
Data Science Journal Computer Science-Computer Science (miscellaneous)
CiteScore
5.40
自引率
0.00%
发文量
17
审稿时长
10 weeks
期刊介绍: The Data Science Journal is a peer-reviewed electronic journal publishing papers on the management of data and databases in Science and Technology. Details can be found in the prospectus. The scope of the journal includes descriptions of data systems, their publication on the internet, applications and legal issues. All of the Sciences are covered, including the Physical Sciences, Engineering, the Geosciences and the Biosciences, along with Agriculture and the Medical Science. The journal publishes papers about data and data systems; it does not publish data or data compilations. However it may publish papers about methods of data compilation or analysis.
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