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Étiquette : data science

EN

Toward collaborative open data science in metabolomics using Jupyter Notebooks and cloud computing

Posted on 23 septembre 2019 by Hans Dillaerts

Authors : Kevin M. Mendez, Leighton Pritchard, Stacey N. Reinke, David I. Broadhurst Background A lack of transparency and reporting standards in the scientific...

EN

The principles of tomorrow’s university

Posted on 13 décembre 2018 by Hans Dillaerts

Authors : Daniel S. Katz, Gabrielle Allen, Lorena A. Barba, Devin R. Berg, Holly Bik, Carl Boettiger, Christine L. Borgman, C. Titus Brown, Stuart Buck, Randy B...

EN

Curating Scientific Information in Knowledge Infrastructures

Posted on 29 septembre 2018 by Hans Dillaerts

Authors : Markus Stocker, Pauli Paasonen, Markus Fiebig, Martha A. Zaidan, Alex Hardisty Interpreting observational data is a fundamental task in the sciences, ...

EN

Big Data and Data Science: Opportunities and Challenges of iSchools

Posted on 2 décembre 2017 by Hans Dillaerts

Authors : Il-Yeol Song, Yongjun Zhu Due to the recent explosion of big data, our society has been rapidly going through digital transformation and entering a ne...

EN

Big Metadata, Smart Metadata, and Metadata Capital: Toward Greater Synergy Between Data Science and Metadata

Posted on 2 décembre 2017 by Hans Dillaerts

Author : Jane Greenberg Purpose The purpose of the paper is to provide a framework for addressing the disconnect between metadata and data science. Data science...

EN

Towards an Ethical Framework for Publishing Twitter Data in Social Research: Taking into Account Users’ Views, Online Context and Algorithmic Estimation

Posted on 28 mai 2017 by Hans Dillaerts

Authors : Matthew L Williams, Pete Burnap, Luke Sloan New and emerging forms of data, including posts harvested from social media sites such as Twitter, have be...

EN

Dataverse 4.0: Defining Data Publishing

Posted on 27 août 2015 by Hans Dillaerts

 The research community needs reliable, standard ways to make the data produced by scientific research available to the community, while getting credit as data ...

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