Sterner, Beckett and Elliott, Steve (2022) The FAIR and CARE Data Principles Influence Who Counts As a Participant in Biodiversity Science by Governing the Fitness-for-Use of Data. [Preprint]
There is a more recent version of this item available. |
|
Text
FAIRandCAREData-April6-2022.pdf Download (193kB) | Preview |
Abstract
Biodiversity scientists often describe their field as aiming to save life and humanity, but the field has yet to reckon with the history and contemporary practices of colonialism and systematic racism inherited from natural history. The online data portals scientists use to store and share biodiversity data are a growing class of organizations whose governance can address or perpetuate and further institutionalize the implicit assumptions and inequitable social impacts from this extensive history. In this context, researchers and Indigenous Peoples are developing and implementing new strategies to examine and change assumptions about which agents should count as salient participants to scientific projects, especially 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 influence the governance of biodiversity data portals, we develop an account of fitness-for-use that makes explicit its social as well as technical conditions in relation to agents and purposes. The FAIR Principles, already widely adopted by biodiversity data projects, 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 salient participants to data science.
Export/Citation: | EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL |
Social Networking: |
Item Type: | Preprint | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Creators: |
|
|||||||||
Keywords: | 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: | 12 Aug 2022 14:38 | |||||||||
Last Modified: | 12 Aug 2022 14:38 | |||||||||
Item ID: | 21039 | |||||||||
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: | April 2022 | |||||||||
URI: | https://philsci-archive.pitt.edu/id/eprint/21039 |
Available Versions of this Item
- The FAIR and CARE Data Principles Influence Who Counts As a Participant in Biodiversity Science by Governing the Fitness-for-Use of Data. (deposited 12 Aug 2022 14:38) [Currently Displayed]
Monthly Views for the past 3 years
Monthly Downloads for the past 3 years
Plum Analytics
Actions (login required)
View Item |