I-TREE: A Tool for Characterizing Research Using Taxonomies

Abstract

The Institute for Defense Analyses (IDA) is developing a data strategy that implements data governance, data management, and data architecture practices and infrastructures. The data strategy leverages data to build trusted insights and establishes a data-centric culture. One component of the data strategy is a set of research taxonomies that describe and characterize research at IDA. I have created a dataset that consumes disparate data sources related to these taxonomies and unites them with metadata about research products and projects to create quantified analytics addressing questions about research at IDA. This dataset is curated and ingested by an interactive Shiny web application using R, which has been named I-TREE (IDA-Taxonomical Research Expertise Explorer). In this paper, I explain how we used data science to create I-TREE, which aids IDA in collecting new insights and making informed decisions.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2023
Accession Number
AD1212355

Entities

People

  • Aayushi Verma
  • Heather M. Wojton

Organizations

  • Institute for Defense Analyses

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Addressing
  • Application Software
  • Artificial Intelligence
  • Classification
  • Commerce
  • Computer Programs
  • Data Analysis
  • Data Curation
  • Data Management
  • Data Science
  • Department Of Defense
  • Governments
  • Hierarchies
  • Infrastructure
  • Language
  • Machine Learning
  • Metadata
  • Security
  • Standards
  • Taxonomy
  • Test And Evaluation
  • Web Applications

Fields of Study

  • Computer science

Readers

  • Defense Technology Research and Development.
  • Distributed Systems and Data Platform Development
  • Instructional Design and Training Evaluation.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy