Prospecting (in) the data sciences

Data science is characterized by engaging heterogeneous data to tackle real world questions and problems. But data science has no data of its own and must seek it within real world domains. We call this search for data “prospecting” and argue that the dynamics of prospecting are pervasive in, even c...

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Bibliographic Details

Published in:	Big data & society Vol. 7; no. 1; p. 205395172090684
Main Authors:	Slota, Stephen C, Hoffman, Andrew S, Ribes, David, Bowker, Geoffrey C
Format:	Journal Article
Language:	English
Published:	London, England SAGE Publications 01-01-2020 Sage Publications Ltd SAGE Publishing
Subjects:	Big Data Data science Data search Domains Epistemology Exploration Science World problems logic of domains Infrastructure science studies science policy data science Big Data hubs and spokes
Online Access:	Get full text
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