OAR

OAR provides a federated scientific data infrastructure that hosts, curates, and exposes NIST research datasets across chemistry, biology, materials science, physics, disaster resilience, cyberinfrastructure, communications, and forensics to ensure FAIR (Findable, Accessible, Interoperable, Reusable) data for reuse.

Key Features:

• Data Repository System: The OAR Public Data Repository (PDR) hosts and disseminates datasets generated from NIST research across chemistry, biology, materials science, physics, disaster resilience, cyberinfrastructure, communications, and forensics.
• FAIR Compliance: Adheres to FAIR principles with a scientific data discovery portal for findability, public repositories for access, interoperability with other datasets and systems, and provisions for data reuse.
• Comprehensive Data Coverage: Includes Standard Reference Data, legacy high-value datasets, and new research publications spanning NIST disciplines.
• Data Integrity and Curation: Data are curated by domain experts using laboratory instrumentation, expert analyses, and calibration processes to ensure integrity and reproducibility.
• Open Access Policy Alignment: Aligns with U.S. government open data policies and collaborates with the research community to promote transparency and accessibility of scientific data.
• Technical Implementation: Implements software components including the oar-pdr repository management package and the oar-metadata package integrated via a git submodule for metadata and repository management.

Scientific Applications:

• Materials Development: Provides datasets used to develop materials with enhanced properties.
• Biological and Chemical Analysis: Supports biological and chemical analyses using curated experimental datasets.
• Physics Research: Enables physics experiments and theoretical model development with curated data resources.
• Disaster Resilience: Facilitates research to improve disaster resilience strategies through access to relevant datasets.
• Cyberinfrastructure and Communications: Supports advancement of cyberinfrastructure and communication technologies via shared datasets.
• Forensics: Provides curated reference datasets to support forensic investigations.

Methodology:

Operates a federated scientific data infrastructure exposing datasets via a scientific data discovery portal and managed by the oar-pdr package with metadata handled by the oar-metadata package integrated as a git submodule.