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How Data Governance Principles Influence Participation in Biodiversity Science

Sterner, Beckett and Elliott, Steve (2022) How Data Governance Principles Influence Participation in Biodiversity Science. [Preprint]

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Abstract

Biodiversity science is in a pivotal period when diverse groups of actors—including researchers, businesses, national governments, and Indigenous Peoples—are negotiating wide-ranging norms for governing and managing biodiversity data in digital repositories. These repositories, often called biodiversity data portals, are a type of organization for which governance can address or perpetuate the colonial history of biodiversity science and current inequities. Researchers and Indigenous Peoples are developing and implementing new strategies to examine and change assumptions about which agents should count as salient participants in scientific projects, especially in projects that build and manage large digital data portals. Two notable efforts are the FAIR (Findable, Accessible, Interoperable, Reusable) and CARE (Collective benefit, Authority, Responsibility, Ethics) Principles for scientific data management and governance. To characterize how these principles influence the governance of biodiversity data portals, we develop an account of fit-for-use data that makes explicit its social as well as technical conditions in relation to agents and purposes. The FAIR Principles, already widely adopted by biodiversity researchers, prioritize machine agents and efficient computation, while the CARE Principles prioritize Indigenous Peoples and their data sovereignty. Both illustrate the potency of an emerging general strategy by which groups of actors craft and implement governance principles for data fitness-of-use to change assumptions about who are salient participants in data science.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Sterner, Beckettbsterne1@asu.edu0000-0001-5219-7616
Elliott, Stevestephen.elliott@asu.edu0000-0002-7736-1002
Keywords: FAIR Principles, CARE Principles, Indigenous data sovereignty, citizen science, knowledge infrastructure, colonial science, data governance
Subjects: General Issues > Data
Specific Sciences > Biology > Ecology/Conservation
General Issues > Ethical Issues
General Issues > Social Epistemology of Science
General Issues > Values In Science
Depositing User: Steve Elliott
Date Deposited: 05 Nov 2022 18:04
Last Modified: 05 Nov 2022 18:04
Item ID: 21357
Subjects: General Issues > Data
Specific Sciences > Biology > Ecology/Conservation
General Issues > Ethical Issues
General Issues > Social Epistemology of Science
General Issues > Values In Science
Date: November 2022
URI: https://philsci-archive.pitt.edu/id/eprint/21357

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