Big Code
Big Code
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大码
DOI:
10.1111/gean.12330
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发表时间:
2022
影响因子:
3.6
通讯作者:
Rey, Sergio J.
中科院分区:
文献类型:
--
作者:
Rey, Sergio J.
Big data, the “new oil” of the modern data science era, has attracted much attention in the GIScience community. However, we have ignored the role of code in enabling the big data revolution in this modern gold rush. Instead, what attention code has received has focused on computational efficiency and scalability issues. In contrast, we have missed the opportunities that the more transformative aspects of code afford as ways to organize our science. These “big code” practices hold the potential for addressing some ill effects of big data that have been rightly criticized, such as algorithmic bias, lack of representation, gatekeeping, and issues of power imbalances in our communities. In this article, I consider areas where lessons from the open source community can help us evolve a more inclusive, generative, and expansive GIScience. These concern best practices for codes of conduct, data pipelines and reproducibility, refactoring our attribution and reward systems, and a reinvention of our pedagogy.
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影响因子:
3.9
作者:
M. Goodchild;A. Fotheringham;P. Kedron;Wenwen Li
通讯作者:
Wenwen Li
DOI:
10.1007/s00168-014-0611-7
发表时间:
2014
期刊:
The Annals of Regional Science
影响因子:
--
作者:
S. Rey
通讯作者:
S. Rey
DOI:
10.31235/osf.io/ucfyd
发表时间:
2020
期刊:
The Professional Geographer
影响因子:
--
作者:
Rachel S. Franklin;Victoria Houlden;Caitlin Robinson;Daniel Arribas;E. Delmelle;Urška Demšar;H. Miller;David O’Sullivan
通讯作者:
David O’Sullivan
影响因子:
3.1
作者:
Solem, Michael;Dony, Coline;Herman, Thomas;León, Kelly;Magdy, Amr;Nara, Atsushi;Ray, Waverly;Rey, Sergio;Russell, Rachel
通讯作者:
Russell, Rachel