Jamie McCusker

Director, Data Operations - TWC, HEALS

Email: mccusj2@rpi.edu
Twitter: https://twitter.com/jpmccu

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Jamie McCusker works on Biomedical Semantics. Her current interests are data and provenance interoperability in life sciences. She has worked as a software developer for 11 years in bioinformatics, high performance computing, data mining, natural language processing, and supply chain auditing.

Find me on Mastodon.

Affiliations: Tetherless World Constellation, Rensselaer Polytechnic Institute

Projects as Research Staff

NanoMine: Ontology-Enabled Polymer Nanocomposite Open Community Data Resource

Our evolving semantics=driven data resource, named NanoMine, is an open access, user friendly, living, growing, data resource for the polymer nanocomposites community that is scalable and enables improved understanding of processing – structure - property relationships and thus facilitates faster

Semantic Data Dictionaries (SDD)

The aim of the Semantic Data Dictionary (SDD) approach is to annotate datasets such that it is machine readable, uses best practice ontologies, and follows FAIR Guiding Principles.

CHEAR (Child Health Exposure Analysis Repository)

The United States’ National Institute of Environmental Health Sciences has established an infrastructure, the Children’s Health Exposure Analysis Resource (CHEAR), to provide the extramural research community access to laboratory and statistical analyses aimed at adding or expanding the inclusi

Semantic Extract, Transform, and Load-er (SETLr)

Semantic Extract, Transform, and Load-er (SETLr) is a flexible, scalable tool for providing semantic interpretations to tabular, XML, and JSON-based data from local or web files.

The Human-Aware Data Acquisition Infrastructure (HADatAc)

HADatAc (Human-Aware Data Acquisition framework) is an open-source infrastructure that enables combined acquisitions of data and metadata in a way that metadata is properly and logically connected to data.

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