ArticlePeerJ2025
A lack of open data standards for large infrastructure projects hampers social-ecological research in the Brazilian Amazon.
Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed.
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Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
New infrastructure projects are planned or under construction in several countries, including in the bioculturally diverse Amazon, Mekong, and Congo regions. While infrastructure development can improve human health and living standards, it may also lead to environmental degradation, such as deforestation, and social change, such as loss of livelihoods. Accessible, high-quality data about infrastructure projects is essential for both monitoring these projects and studying their social and environmental impacts. As a case study, we investigated the availability and quality of data on infrastructure projects in the Brazilian Amazon by reviewing the academic literature and surveying researchers from the conservation and development community. We used the results of these surveys to identify recommended steps for the gathering, organizing, and sharing of infrastructure data by social-ecological researchers and practitioners. Although data on infrastructure in the Brazilian Amazon were generally available, they were often of poor quality and lacked information critical for monitoring and research. Data were often difficult to find on government and non-government websites as well as reformat, resulting in loss of time and resources for researchers and other stakeholders. Discrepancies between researchers' survey responses on data needs and the types of data used in peer-reviewed articles on infrastructure projects indicate the following information was often missing: geographic extent of the project, construction and operation dates, and project type (
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