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Metadata for Scientific Experiment Reporting: A Case Study in Metal-Organic Frameworks
Conference proceeding   Peer reviewed

Metadata for Scientific Experiment Reporting: A Case Study in Metal-Organic Frameworks

Xintong Zhao, Kyle Langlois, Jacob Furst, Scott McClellan, Xiaohua Hu, Yuan An, Diego A. Gomez-Gualdron, Fernando J. Uribe-Romo and Jane Greenberg
METADATA AND SEMANTIC RESEARCH, MTSR 2023, v 2048, pp 30-40
01 Jan 2024
DOI: https://doi.org/10.1007/978-3-031-65990-4_3

Abstract

Computer Science, Information Systems Computer Science, Interdisciplinary Applications Information Science & Library Science Science & Technology Computer Science Technology
Research methods and procedures are core aspects of the research process. Metadata focused on these components is critical to supporting the FAIR principles, particularly reproducibility. The research reported on in this paper presents a methodological framework for metadata documentation supporting the reproducibility of research producing Metal Organic Frameworks (MOFs). The MOF case study involved natural language processing to extract key synthesis experiment information from a corpus of research literature. Following, a classification activity was performed by domain experts to identify entity-relation pairs. Results include: 1) a research framework for metadata design, 2) a metadata schema that includes nine entities and two relationships for reporting MOF synthesis experiments, and 3) a growing database ofMOF synthesis reports structured by our metadata scheme. The metadata schema is intended to support discovery and reproducibility of metal-organic framework research and the FAIR principles. The paper provides background information, identifies the research goals and objectives, research design, results, a discussion, and the conclusion.

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