
doi: 10.1002/geo2.61
The Environmental Data and Governance Initiative (EDGI) formed in response to the 2016 US elections and the resulting political shifts which created widespread public concern about the future integrity of US environmental agencies and policy. As a distributed, consensus‐based organisation, EDGI has worked to document, contextualise, and analyse changes to environmental data and governance practices in the US. One project EDGI has undertaken is the grassroots archiving of government environmental data sets through our involvement with the DataRescue movement. However, over the past year, our focus has shifted from saving environmental data to a broader project of rethinking the infrastructures required for community stewardship of data: Data Together. Through this project, EDGI seeks to make data more accessible and environmental decision‐making more accountable through new social and technical infrastructures. The shift from DataRescue to Data Together exemplifies EDGI's ongoing attempts to put an “environmental data justice” prioritising community self‐determination into practice. By drawing on environmental justice, critical GIS, critical data studies, and emerging data justice scholarship, EDGI hopes to inform our ongoing engagement in projects that seek to enact alternative futures for data stewardship.
Trump administration, web archiving, Geography (General), Environmental sciences, decentralised web, G1-922, environmental data justice, GE1-350, data activism
Trump administration, web archiving, Geography (General), Environmental sciences, decentralised web, G1-922, environmental data justice, GE1-350, data activism
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 24 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
