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Data Integration without Unification

Sterner, Beckett and Elliott, Steve and Gilbert, Ed and Franz, Nico (2020) Data Integration without Unification. [Preprint]

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Abstract

Life scientists generate big data by pooling many smaller datasets and by ensuring that those datasets combine to form a trustworthy body of information with a net increase in use value. Most proceed by constructing a maximally comprehensive dataset based on universal standards for representing the data’s empirical content and fit for different uses. We argue that this approach rests on an regulative ideal to create unified datasets, but following this ideal isn’t necessary: there are alternatives that enable the benefits of data pooling to be realized through infrastructure supporting lateral exchange and customization of data among multiple sources. We illustrate data integration without unification in the context of big data for biodiversity, which aims to address rapid biodiversity losses across the globe.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Sterner, Beckettbsterne1@asu.edu0000-0001-5219-7616
Elliott, Stevestephen.elliott@asu.edu0000-0002-7736-1002
Gilbert, Ed
Franz, Niconmfranz@asu.edu0000-0001-7089-7018
Keywords: Biodiversity loss, bioinformatics, Darwin Core, data science, data portal, data synthesis
Subjects: General Issues > Data
Specific Sciences > Biology > Ecology/Conservation
Specific Sciences > Biology > Systematics
Depositing User: Steve Elliott
Date Deposited: 29 Jun 2021 21:45
Last Modified: 29 Jun 2021 21:45
Item ID: 19253
Subjects: General Issues > Data
Specific Sciences > Biology > Ecology/Conservation
Specific Sciences > Biology > Systematics
Date: 11 August 2020
URI: http://philsci-archive.pitt.edu/id/eprint/19253

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