Data science: a comprehensive overview

L Cao - ACM Computing Surveys (CSUR), 2017 - dl.acm.org
The 21st century has ushered in the age of big data and data economy, in which data DNA,
which carries important knowledge, insights, and potential, has become an intrinsic …

Data-driven aerospace engineering: reframing the industry with machine learning

SL Brunton, J Nathan Kutz, K Manohar, AY Aravkin… - AIAA Journal, 2021 - arc.aiaa.org
Data science, and machine learning in particular, is rapidly transforming the scientific and
industrial landscapes. The aerospace industry is poised to capitalize on big data and …

The conundrum of sharing research data

CL Borgman - Journal of the American Society for Information …, 2012 - Wiley Online Library
We must all accept that science is data and that data are science, and thus provide for, and
justify the need for the support of, much‐improved data curation.(Hanson, Sugden, & …

Science friction: Data, metadata, and collaboration

PN Edwards, MS Mayernik… - Social studies of …, 2011 - journals.sagepub.com
When scientists from two or more disciplines work together on related problems, they often
face what we call 'science friction'. As science becomes more data-driven, collaborative, and …

Designing for labour: uber and the on-demand mobile workforce

M Glöss, M McGregor, B Brown - … of the 2016 CHI conference on human …, 2016 - dl.acm.org
Apps allowing passengers to hail and pay for taxi service on their phone? such as Uber and
Lyft-have affected the livelihood of thousands of workers worldwide. In this paper we draw …

Map** the data shadows of Hurricane Sandy: Uncovering the sociospatial dimensions of 'big data'

T Shelton, A Poorthuis, M Graham, M Zook - Geoforum, 2014 - Elsevier
Digital social data are now practically ubiquitous, with increasingly large and interconnected
databases leading researchers, politicians, and the private sector to focus on how such 'big …

Visual analytics: A comprehensive overview

W Cui - IEEE access, 2019 - ieeexplore.ieee.org
With the ever-increasing amount of data, the world has stepped into the era of “Big Data”.
Presently, the analysis of massive and complex data and the extraction of relevant …

Infrastructure time: Long-term matters in collaborative development

H Karasti, KS Baker, F Millerand - Computer Supported Cooperative Work …, 2010 - Springer
This paper addresses the collaborative development of information infrastructure for
supporting data-rich scientific collaboration. Studying infrastructure development empirically …

Big data and extreme-scale computing: Pathways to convergence-toward a sha** strategy for a future software and data ecosystem for scientific inquiry

M Asch, T Moore, R Badia, M Beck… - … Journal of High …, 2018 - journals.sagepub.com
Over the past four years, the Big Data and Exascale Computing (BDEC) project organized a
series of five international workshops that aimed to explore the ways in which the new forms …

Many-task computing for grids and supercomputers

I Raicu, IT Foster, Y Zhao - … on many-task computing on grids …, 2008 - ieeexplore.ieee.org
Many-task computing aims to bridge the gap between two computing paradigms, high
throughput computing and high performance computing. Many task computing differs from …