With Big Data Comes Big Responsibilities for Science Equity Research

Our ability to collect and access large quantities of data over the last decade has been revolutionary for many social sciences. Suddenly, it is possible to measure human behavior, performance, and activity on an unprecedented scale, opening the door to fundamental advances in discovery and understa...

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Autores principales:	Cissy J. Ballen, Henriette Tolstrup Holmegaard
Formato:	article
Lenguaje:	EN
Publicado:	American Society for Microbiology 2019
Materias:	Special aspects of education LC8-6691 Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/8cf30aa27e91475b80df857e46604fb6
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spelling	oai:doaj.org-article:8cf30aa27e91475b80df857e46604fb62021-11-15T15:04:15ZWith Big Data Comes Big Responsibilities for Science Equity Research10.1128/jmbe.v20i1.16431935-78851935-7877https://doaj.org/article/8cf30aa27e91475b80df857e46604fb62019-01-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/jmbe.v20i1.1643https://doaj.org/toc/1935-7877https://doaj.org/toc/1935-7885Our ability to collect and access large quantities of data over the last decade has been revolutionary for many social sciences. Suddenly, it is possible to measure human behavior, performance, and activity on an unprecedented scale, opening the door to fundamental advances in discovery and understanding. Yet such access to data has limitations that, if not sufficiently addressed and explored, can result in significant oversights. Here we discuss recent research that used data from a large global sample of high school students to demonstrate, paradoxically, that in nations with higher gender equality, fewer women pursued science, technology, engineering, and mathematics (STEM) degrees than would be expected based on aptitude in those subjects. The reasons for observed patterns is central to current debates, with frequent disagreement about the nature and magnitude of problems posed by the lack of female representation in STEM and the best ways to deal with them. In our international efforts to use big data in education research, it is necessary to critically consider its limitations and biases.Cissy J. BallenHenriette Tolstrup HolmegaardAmerican Society for MicrobiologyarticleSpecial aspects of educationLC8-6691Biology (General)QH301-705.5ENJournal of Microbiology & Biology Education, Vol 20, Iss 1 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Special aspects of education LC8-6691 Biology (General) QH301-705.5
spellingShingle	Special aspects of education LC8-6691 Biology (General) QH301-705.5 Cissy J. Ballen Henriette Tolstrup Holmegaard With Big Data Comes Big Responsibilities for Science Equity Research
description	Our ability to collect and access large quantities of data over the last decade has been revolutionary for many social sciences. Suddenly, it is possible to measure human behavior, performance, and activity on an unprecedented scale, opening the door to fundamental advances in discovery and understanding. Yet such access to data has limitations that, if not sufficiently addressed and explored, can result in significant oversights. Here we discuss recent research that used data from a large global sample of high school students to demonstrate, paradoxically, that in nations with higher gender equality, fewer women pursued science, technology, engineering, and mathematics (STEM) degrees than would be expected based on aptitude in those subjects. The reasons for observed patterns is central to current debates, with frequent disagreement about the nature and magnitude of problems posed by the lack of female representation in STEM and the best ways to deal with them. In our international efforts to use big data in education research, it is necessary to critically consider its limitations and biases.
format	article
author	Cissy J. Ballen Henriette Tolstrup Holmegaard
author_facet	Cissy J. Ballen Henriette Tolstrup Holmegaard
author_sort	Cissy J. Ballen
title	With Big Data Comes Big Responsibilities for Science Equity Research
title_short	With Big Data Comes Big Responsibilities for Science Equity Research
title_full	With Big Data Comes Big Responsibilities for Science Equity Research
title_fullStr	With Big Data Comes Big Responsibilities for Science Equity Research
title_full_unstemmed	With Big Data Comes Big Responsibilities for Science Equity Research
title_sort	with big data comes big responsibilities for science equity research
publisher	American Society for Microbiology
publishDate	2019
url	https://doaj.org/article/8cf30aa27e91475b80df857e46604fb6
work_keys_str_mv	AT cissyjballen withbigdatacomesbigresponsibilitiesforscienceequityresearch AT henriettetolstrupholmegaard withbigdatacomesbigresponsibilitiesforscienceequityresearch
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With Big Data Comes Big Responsibilities for Science Equity Research

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