  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 of MOF
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.
