We apply the concept of invisible labor, as developed by labor scholars over the last forty years, to data-intensive science. Drawing on a fifteen-year corpus of research into multiple domains of data-intensive science, we use a series of ethnographic vignettes to offer a snapshot of the varieties and valences of labor in data-intensive science. We conceptualize data-intensive science as an evolving field and set of practices and highlight parallels between the labor literature and Science and Technology Studies. Further, we note where data-intensive science intersects and overlaps with broader trends in the 21 st century economy. In closing, we argue for further research that takes scientific work and labor as its starting point.

中文翻译：

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异地劳动：数据密集型科学中（不可见）劳动的多样性和价态

我们将劳动学者在过去四十年中提出的无形劳动概念应用于数据密集型科学。利用对数据密集型科学的多个领域进行的十五年研究，我们使用了一系列的人种学渐晕来概述数据密集型科学中的劳动种类和价态。我们将数据密集型科学概念化为一个不断发展的领域和一整套实践，并着重强调了劳工文献与科学技术研究之间的相似之处。此外，我们注意到数据密集型科学在哪些地方与21世纪经济的更广泛趋势相交并重叠。最后，我们主张以科学工作和劳动为起点的进一步研究。