Orchestrate Geospatial (Meta)Data Management Workflows and Manage FAIR Services

zen4R - R Interface to Zenodo REST API

Simple code written in R to calculate risk using the factor analysis of information risk (FAIR) methodology. Uses PERT distributions for the monte carlo simulations.

R implementation of the FAIR Data Pipeline API

Source code for Quarto slides on reproducible and FAIR teaching materials

MAS Data Management Tools

Shiny application that uses Monte Carlo simulation to estimate risk using factor analysis of information risk (FAIR) methods.

This repo supports: Imker and Ou (2025) "Analyzing the Naming Conventions of Life Science Data Resources to Inform Human and Computational Findability"

Test to make repo FAIR.

This is a new implementation of the original r-shiny-fair-risk repo that splits the Shiny app into three files, introduces a new UI, and implements various processing efficiencies.

fairadi: A FAIR-Oriented U.S. Deprivation Indices Dataset