Data justice and biodiversity conservation

© 2022 The Authors. Conservation Biology published by Wiley Periodicals LLC on behalf of Society for Conservation Biology.

Bibliographische Detailangaben
Veröffentlicht in:Conservation biology : the journal of the Society for Conservation Biology. - 1999. - 36(2022), 5 vom: 15. Okt., Seite e13919
1. Verfasser: Pritchard, Rose (VerfasserIn)
Weitere Verfasser: Sauls, Laura Aileen, Oldekop, Johan A, Kiwango, Wilhelm Andrew, Brockington, Dan
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2022
Zugriff auf das übergeordnete Werk:Conservation biology : the journal of the Society for Conservation Biology
Schlagworte:Journal Article Research Support, Non-U.S. Gov't análisis globales big data critical data studies data justice datificación datification ecología política equity mehr... estudios críticos de datos global analyses justicia informativa political ecology remote sensing teledetección 全球分析 公平 关键数据研究 大数据 政治生态学 数据公正性 数据化 遥感
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520 |a Increases in data availability coupled with enhanced computational capacities are revolutionizing conservation. But in the excitement over the opportunities afforded by new data, there has been less discussion of the justice implications of data used in conservation, that is, how people and environments are represented through data, the conservation choices made based on data, and the distribution of benefits and harms arising from these choices. We propose a framework for understanding the justice dimensions of conservation data composed of five elements: data composition, data control, data access, data processing and use, and data consequences. For each element, we suggest a set of guiding questions that conservationists could use to think through their collection and use of data and to identify potential data injustices. The need for such a framework is illustrated by a synthesis of recent critiques of global conservation prioritization analyses. These critiques demonstrate the range of ways data could serve to produce social and ecological harms due to the choice of underlying data sets, assumptions made in the analysis, oversimplification of real-world conservation practice, and crowding out of other forms of knowledge. We conclude by arguing that there are ways to mitigate risks of conservation data injustices, through formal ethical and legal frameworks and by promoting a more inclusive and more reflexive conservation research ethos. These will help ensure that data contribute to conservation strategies that are both socially just and ecologically effective 
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650 4 |a Research Support, Non-U.S. Gov't 
650 4 |a análisis globales 
650 4 |a big data 
650 4 |a critical data studies 
650 4 |a data justice 
650 4 |a datificación 
650 4 |a datification 
650 4 |a ecología política 
650 4 |a equity 
650 4 |a estudios críticos de datos 
650 4 |a global analyses 
650 4 |a justicia informativa 
650 4 |a political ecology 
650 4 |a remote sensing 
650 4 |a teledetección 
650 4 |a 全球分析 
650 4 |a 公平 
650 4 |a 关键数据研究 
650 4 |a 大数据 
650 4 |a 政治生态学 
650 4 |a 数据公正性 
650 4 |a 数据化 
650 4 |a 遥感 
700 1 |a Sauls, Laura Aileen  |e verfasserin  |4 aut 
700 1 |a Oldekop, Johan A  |e verfasserin  |4 aut 
700 1 |a Kiwango, Wilhelm Andrew  |e verfasserin  |4 aut 
700 1 |a Brockington, Dan  |e verfasserin  |4 aut 
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