6 citations · 9 across the 12 of their papers we have counts for
7 papers · 1 filter
Metadata for Scientific Experiment Reporting: A Case Study in Metal-Organic Frameworks
Xintong Zhao, Kyle Langlois, Jacob Furst +6
Research methods and procedures are core aspects of the research process. Metadata focused on these components is critical to supporting the FAIR principles, particularly reproduci…
Characterizing Semantic Ambiguity of the Materials Science Ontologies
Scott McClellan, Yuan An, Xintong Zhao +2
Growth in computational materials science and initiatives such as the Materials Genome Initiative (MGI) and the European Materials Modelling Council (EMMC) has motivated the develo…
Materials Science Ontology Design with an Analytico-Synthetic Facet Analysis Framework
Jane Greenberg, Scott McClellan, Xintong Zhao +6
Researchers across nearly every discipline seek to leverage ontologies for knowledge discovery and computational tasks; yet, the number of machine readable materials science ontolo…
MEDFORD: A human and machine readable metadata markup language
Polina Shpilker, John Freeman, Hailey McKelvie +7
Reproducibility of research is essential for science. However, in the way modern computational biology research is done, it is easy to lose track of small, but extremely critical,…
FAIR Metadata: A Community-driven Vocabulary Application
Christopher B. Rauch, Mat Kelly, John A. Kunze +1
FAIR metadata is critical to supporting FAIR data overall. Transparency, community engagement, and flexibility are key aspects of FAIR that apply to metadata. This paper presents Y…
DARSI: An Ontology for Facilitating the Development of Data Sharing and Use Agreements
M. Greene, S. Grabus, J. Greenberg
The advantages of data sharing across organizations and disciplines are indisputable; although, sensitive and restricted data cannot be easily shared due to policies and legal matt…
The role of metadata in reproducible computational research
Jeremy Leipzig, Daniel Nüst, Charles Tapley Hoyt +3
Reproducible computational research (RCR) is the keystone of the scientific method for in silico analyses, packaging the transformation of raw data to published results. In additio…