About Me!

About Me!

  • 👩‍🎓 Thesis: Unified Statistical Principles and Computational Tools for Data Harmonisation and Provenance
    • 🖇️ Data Wrangling and Provenance approaches that incorporate statistical and computational workflow considerations.
    • 🌰 Statistically sound, well-documented and low-friction adaptation of “alternative” data for empirical research.
    • 🤔 Provenance (approaches, tools and concepts) Across Domains
    • 🔀 Unified Framework for recoding and redistributing numeric data between categories

Visualising Category Recoding and Redistributions

Previously presented at VISxPROV Workshop 2023 <arXiv:2308.06535>

Overview

Domain Context

Defining or selecting mappings between classifications or taxonomies,

Task Abstraction

Implementing and validating mappings on given data,

Encoding Design

Documenting and analysing the implemented mapping.

Ex-Post Harmonisation

Ex-post (or retrospective) data harmonization refers to procedures applied to already collected data to improve the comparability and inferential equivalence of measures from different studies (Kołczyńska 2022)