Tulodziecki, Dana (2025) Data Can Be Underdetermined, Too. [Preprint]

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Abstract

This paper focuses on a type of underdetermination that has barely received any philosophical attention: underdetermination of data. I show how one particular type of data — RNA sequencing data, arguably one of the most important data types in contemporary biology and medicine — is underdetermined, because RNA sequencing experiments often do not determine a unique data set. Instead, different ways of generating usable data can result in vastly different, and even incompatible, data sets. But, since it is often impossible to adjudicate among these different ways of generating data, ‘the data’ coming out of such experiments is underdetermined.

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Item Type:	Preprint
Creators:	Creators Email ORCID Tulodziecki, Dana dtulodzi@purdue.edu 0000-0002-1861-265X
Keywords:	underdetermination, data, sequencing, RNA, experiment, omics
Subjects:	General Issues > Data Specific Sciences > Biology General Issues > Evidence General Issues > Experimentation Specific Sciences > Medicine General Issues > Technology
Depositing User:	Dana Tulodziecki
Date Deposited:	09 May 2025 14:41
Last Modified:	09 May 2025 14:41
Item ID:	25259
Subjects:	General Issues > Data Specific Sciences > Biology General Issues > Evidence General Issues > Experimentation Specific Sciences > Medicine General Issues > Technology
Date:	2025
URI:	https://philsci-archive.pitt.edu/id/eprint/25259

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