.png){kind=icon}
返回
Making Messy Data Work for Conservation
.png){kind=icon}
OA
AI
DOI：10.1016/j.oneear.2020.04.012.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Conservationists increasingly use unstructured observational data, such as citizen science records or ranger patrol observations, to guide decision making. These datasets are often large and relatively cheap to collect, and they have enormous potential. However, the resulting data are generally messy,'' and their use can incur considerable costs, some of which are hidden. We present an overview of the opportunities and limitations associated with messy data by explaining how the preferences, skills, and incentives of data collectors affect the quality of the information they contain and the investment required to unlock their potential. Drawing widely from across the sciences, we break down elements of the observation process in order to highlight likely sources of bias and error while emphasizing the importance of cross-disciplinary collaboration. We propose a framework for appraising messy data to guide those engaging with these types of dataset and make them work for conservation and broader sustainability applications.
Keyword:
DATA-INTENSIVE SCIENCE
CITIZEN SCIENCE
BIG DATA
IMPROVE
BIAS
INFORMATION
TRADE
BIODIVERSITY
MANAGEMENT
SEIZURES
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
15.3
论文数:
1.3K
被引数:
8.0K
机构
查看更多机构
引用论文
分享收藏分享收藏The role of social and decision sciences in communicating uncertain climate risks社会和决策科学在传达不确定的气候风险中的作用.png)
NATURE CLIMATE CHANGE
NATURE CLIMATE CHANGEIF27.1
PREAI
分享收藏No saturation in the accumulation of alien species worldwide全球外来物种的积累没有饱和NATURE COMMUNICATIONSOAAI
NATURE COMMUNICATIONSIF15.7
OAAI分享收藏
查看更多内容