Title |
From ecological records to big data: the invention of global biodiversity
|
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Published in |
History and Philosophy of the Life Sciences, September 2016
|
DOI | 10.1007/s40656-016-0113-2 |
Pubmed ID | |
Authors |
Vincent Devictor, Bernadette Bensaude-Vincent |
Abstract |
This paper is a critical assessment of the epistemological impact of the systematic quantification of nature with the accumulation of big datasets on the practice and orientation of ecological science. We examine the contents of big databases and argue that it is not just accumulated information; records are translated into digital data in a process that changes their meanings. In order to better understand what is at stake in the 'datafication' process, we explore the context for the emergence and quantification of biodiversity in the 1980s, along with the concept of the global environment. In tracing the origin and development of the global biodiversity information facility (GBIF) we describe big data biodiversity projects as a techno-political construction dedicated to monitoring a new object: the global diversity. We argue that, biodiversity big data became a powerful driver behind the invention of the concept of the global environment, and a way to embed ecological science in the political agenda. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 2 | 18% |
United Kingdom | 2 | 18% |
Australia | 1 | 9% |
South Africa | 1 | 9% |
Canada | 1 | 9% |
Belgium | 1 | 9% |
Unknown | 3 | 27% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 73% |
Scientists | 2 | 18% |
Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Denmark | 1 | <1% |
Australia | 1 | <1% |
Unknown | 125 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 24 | 19% |
Student > Ph. D. Student | 21 | 17% |
Student > Master | 17 | 13% |
Student > Bachelor | 14 | 11% |
Other | 6 | 5% |
Other | 18 | 14% |
Unknown | 27 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 22 | 17% |
Environmental Science | 21 | 17% |
Social Sciences | 7 | 6% |
Business, Management and Accounting | 6 | 5% |
Computer Science | 6 | 5% |
Other | 29 | 23% |
Unknown | 36 | 28% |