Scientific Reproducibility in Biomedical Research: Provenance Metadata Ontology for Semantic Annotation of Study Description. - Satya S. Sahoo; Joshua Valdez; Michael Rueschman (AMIA, 2016)

An Ontology-Enabled Natural Language Processing Pipeline for Provenance Metadata Extraction from Biomedical Text (Short Paper). - Joshua Valdez; Michael Rueschman; Matthew Kim; Susan Redline; Satya S. Sahoo (OTM Conferences, 2016)

NeuroPigPen: A Scalable Toolkit for Processing Electrophysiological Signal Data in Neuroscience Applications Using Apache Pig. - Satya S. Sahoo; Annan Wei; Joshua Valdez; Li Wang; Bilal Zonjy; Curtis Tatsuoka; Kenneth A. Loparo; Samden D. Lhatoo (Frontiers Neuroinformatics, 2016)

Insight: An ontology-based integrated database and analysis platform for epilepsy self-management research. - Satya S. Sahoo; Priya Ramesh; Elisabeth Welter; Ashley Bukach; Joshua Valdez; Curtis Tatsuoka; Yvan Bamps; Shelley Stoll; Barbara C. Jobst; Martha Sajatovic (Int. J. Medical Informatics, 2016)

ProvCaRe Semantic Provenance Knowledgebase: Evaluating Scientific Reproducibility of Research Studies. - Joshua Valdez; Matthew Kim; Michael Rueschman; Vimig Socrates; Satya S. Sahoo (AMIA, 2017)

An Extensible Ontology Modeling Approach Using Post Coordinated Expressions for Semantic Provenance in Biomedical Research. - Joshua Valdez; Michael Rueschman; Matthew Kim; Sara ArabYarmohammadi; Susan Redline; Satya S. Sahoo (OTM Conferences (2), 2017)

Classification of Provenance Triples for Scientific Reproducibility: A Comparative Evaluation of Deep Learning Models in the ProvCaRe Project. - Joshua Valdez; Matthew Kim; Michael Rueschman; Susan Redline; Satya S. Sahoo (IPAW, 2018)

Semantic Provenance Graph for Reproducibility of Biomedical Research Studies: Generating and Analyzing Graph Structures from Published Literature. - Satya S. Sahoo; Joshua Valdez; Michael Rueschman; Matthew Kim (MedInfo, 2019)

ProvCaRe: Characterizing scientific reproducibility of biomedical research studies using semantic provenance metadata. - Satya S. Sahoo; Joshua Valdez; Matthew Kim; Michael Rueschman; Susan Redline (Int. J. Medical Informatics, 2019)