Defaulting to Inclusion: Producing Sample Datasets for the Global Data Science Classroom
<p dir="ltr">“U.S. defaultism”—the assumption that American contexts, units, and perspectives are universal—manifests in many ways in political science. In this article, I describe how toy datasets commonly employed in quantitative methods courses exemplify this problem. Using custom...
محفوظ في:
| المؤلف الرئيسي: | |
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| منشور في: |
2025
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| _version_ | 1864513523593248768 |
|---|---|
| author | Paul Musgrave (12982827) |
| author_facet | Paul Musgrave (12982827) |
| author_role | author |
| dc.creator.none.fl_str_mv | Paul Musgrave (12982827) |
| dc.date.none.fl_str_mv | 2025-10-15T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1080/15512169.2025.2572320 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Defaulting_to_Inclusion_Producing_Sample_Datasets_for_the_Global_Data_Science_Classroom/31241554 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Human society Political science Information and computing sciences Data management and data science Statistical education U.S. defaultism international pedagogy inclusive teaching |
| dc.title.none.fl_str_mv | Defaulting to Inclusion: Producing Sample Datasets for the Global Data Science Classroom |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">“U.S. defaultism”—the assumption that American contexts, units, and perspectives are universal—manifests in many ways in political science. In this article, I describe how toy datasets commonly employed in quantitative methods courses exemplify this problem. Using customary units, for instance, is unsuitable for an internationalized higher education system. To address these limitations, I introduce the Qatar Cars (qcars) dataset, a freely available alternative toy dataset that uses International System (SI) units, reflects current global automotive market trends (such as the rise of Chinese manufacturers and electric vehicles), and avoids ethnocentric classifications such as labeling the non-U.S. world “foreign.” Created through collaborative data collection with students, the Qatar Cars dataset maintains the pedagogical advantages of earlier datasets, improves statistical instruction by removing barriers for international audiences, and provides opportunities to discuss data-generating processes and research ethics.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: Journal of Political Science Education<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1080/15512169.2025.2572320" target="_blank">https://dx.doi.org/10.1080/15512169.2025.2572320</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_ce0e653f680beed8481a5f7e3e28f1f5 |
| identifier_str_mv | 10.1080/15512169.2025.2572320 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/31241554 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Defaulting to Inclusion: Producing Sample Datasets for the Global Data Science ClassroomPaul Musgrave (12982827)Human societyPolitical scienceInformation and computing sciencesData management and data scienceStatistical educationU.S. defaultisminternational pedagogyinclusive teaching<p dir="ltr">“U.S. defaultism”—the assumption that American contexts, units, and perspectives are universal—manifests in many ways in political science. In this article, I describe how toy datasets commonly employed in quantitative methods courses exemplify this problem. Using customary units, for instance, is unsuitable for an internationalized higher education system. To address these limitations, I introduce the Qatar Cars (qcars) dataset, a freely available alternative toy dataset that uses International System (SI) units, reflects current global automotive market trends (such as the rise of Chinese manufacturers and electric vehicles), and avoids ethnocentric classifications such as labeling the non-U.S. world “foreign.” Created through collaborative data collection with students, the Qatar Cars dataset maintains the pedagogical advantages of earlier datasets, improves statistical instruction by removing barriers for international audiences, and provides opportunities to discuss data-generating processes and research ethics.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: Journal of Political Science Education<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1080/15512169.2025.2572320" target="_blank">https://dx.doi.org/10.1080/15512169.2025.2572320</a></p>2025-10-15T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1080/15512169.2025.2572320https://figshare.com/articles/journal_contribution/Defaulting_to_Inclusion_Producing_Sample_Datasets_for_the_Global_Data_Science_Classroom/31241554CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/312415542025-10-15T09:00:00Z |
| spellingShingle | Defaulting to Inclusion: Producing Sample Datasets for the Global Data Science Classroom Paul Musgrave (12982827) Human society Political science Information and computing sciences Data management and data science Statistical education U.S. defaultism international pedagogy inclusive teaching |
| status_str | publishedVersion |
| title | Defaulting to Inclusion: Producing Sample Datasets for the Global Data Science Classroom |
| title_full | Defaulting to Inclusion: Producing Sample Datasets for the Global Data Science Classroom |
| title_fullStr | Defaulting to Inclusion: Producing Sample Datasets for the Global Data Science Classroom |
| title_full_unstemmed | Defaulting to Inclusion: Producing Sample Datasets for the Global Data Science Classroom |
| title_short | Defaulting to Inclusion: Producing Sample Datasets for the Global Data Science Classroom |
| title_sort | Defaulting to Inclusion: Producing Sample Datasets for the Global Data Science Classroom |
| topic | Human society Political science Information and computing sciences Data management and data science Statistical education U.S. defaultism international pedagogy inclusive teaching |