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Data-driven predictions in the science of science
Science, 2017 The desire to predict discoveries—to have some idea, in advance, of what will be discovered, by whom, when, and where—pervades nearly all aspects of modern science, from individual scientists to publishers, from funding agencies to hiring committees. In this Essay, we survey the emerging and interdisciplinary field of the “science of science” and what ...
Aaron Clauset +4 more
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A Science Cloud for Data Intensive Sciences
Data Science Journal, 2013 It is often discussed that the fourth methodology for science research is "informatics". The first methodology is a theoretic approach, the second one is observation and/or experiment, and the third one is computer simulation. Informatics is a new methodology for data intensive science, which is a new concept based on the fact that most scientific data
Ken T. Murata +14 more
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Data Science as Political Action: Grounding Data Science in a Politics of Justice
Journal of Social Computing, 2021 In response to public scrutiny of data-driven algorithms, the field of data science has adopted ethics training and principles. Although ethics can help data scientists reflect on certain normative aspects of their work, such efforts are ill-equipped to ...
Ben Green
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The Computer Journal, 2016 The field of Data Science concerns techniques for extracting knowledge from diverse data, with a particular focus on ‘big’ data exhibiting ‘V’ attributes such as volume, velocity, variety, value and veracity. The field of data science is becoming increasingly influential in the public, private and voluntary sectors, with its overarching aim of ...
Maneth, Sebastian +1 more
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Serials Review, 2008 AbstractOpen Data (OD) is an emerging term in the process of defining how scientific data may be published and re-used without price or permission barriers. Scientists generally see published data as belonging to the scientific community, but many publishers claim copyright over data and will not allow its re-use without permission.
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Data Science Degree Apprentice
Patterns, 2020 In September 2019, 27 apprentices enrolled in the Level 6 Applied Data Science Degree Apprenticeship program, the first of its type in Wales. This article details the experiences of an apprentice on the course who works in the Data Science Campus at the ...
Evie Brown
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Using Data in Undergraduate Science Classrooms [PDF]
, 2007 Provides pedagogical insight concerning the skill of using data The resource being annotated is: http://www.dlese.org/dds/catalog_DATA-CLASS-000-000-000-007 ...
Lamont-Doherty Earth Observatory, Columbia University
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Managing Research Data in Big Science [PDF]
, 2012 The project which led to this report was funded by JISC in 2010--2011 as part of its 'Managing Research Data' programme, to examine the way in which Big Science data is managed, and produce any recommendations which may be appropriate.
Carozzi, Tobia +2 more
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Data science of stroke imaging and enlightenment of the penumbra. [PDF]
, 2015 Imaging protocols of acute ischemic stroke continue to hold significant uncertainties regarding patient selection for reperfusion therapy with thrombolysis and mechanical thrombectomy.
Liebeskind, David S +2 more
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Four lectures on probabilistic methods for data science
, 2016 Methods of high-dimensional probability play a central role in applications for statistics, signal processing theoretical computer science and related fields.
Vershynin, Roman
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