Getting “good” data in a pandemic, part 2: more tools in the toolbox

Abstract This is the second part of a two-part special issue that explores how linguistic researchers adapted their data collection methods during the COVID-19 pandemic. The collection draws from a series of workshops, Getting Data: Linguistic Data Collection in the Age of Pandemic, which served as a springboard for a range of small-scale studies investigating the validity of remote and modified data collection techniques. While the first issue examined the quality of data gathered through remote methods and strategies for maintaining research rigour under pandemic constraints, this second issue shifts focus to the development of alternative approaches that enabled researchers to collect linguistic data when traditional fieldwork was impossible. The articles explore various challenges and successes, including the use of videoconferencing, online platforms, and adjusted in-person protocols, while critically assessing the long-term applicability of these methods in linguistic research. This issue ultimately highlights the potential for remote methods to increase accessibility and safety for both participants and researchers, while also acknowledging the limitations and ethical concerns that arise from these new approaches. Together, these studies contribute to an evolving understanding of how data collection in linguistics can adapt to changing global conditions.

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Publication Details

Journal
Linguistics Vanguard
Published
2024-12-01
DOI
https://doi.org/10.1515/lingvan-2024-0202
Primary Topic
Data-Driven Disease Surveillance
Type
article
Field-Weighted Citation Impact
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article

Getting “good” data in a pandemic, part 2: more tools in the toolbox

Matt Hunt Gardner, Viktorija Kostadinova
Linguistics Vanguard
Data-Driven Disease Surveillance
article

Getting “good” data in a pandemic, part 2: more tools in the toolbox

Matt Hunt Gardner, Viktorija Kostadinova
article en

Abstract

Abstract This is the second part of a two-part special issue that explores how linguistic researchers adapted their data collection methods during the COVID-19 pandemic. The collection draws from a series of workshops, Getting Data: Linguistic Data Collection in the Age of Pandemic, which served as a springboard for a range of small-scale studies investigating the validity of remote and modified data collection techniques. While the first issue examined the quality of data gathered through remote methods and strategies for maintaining research rigour under pandemic constraints, this second issue shifts focus to the development of alternative approaches that enabled researchers to collect linguistic data when traditional fieldwork was impossible. The articles explore various challenges and successes, including the use of videoconferencing, online platforms, and adjusted in-person protocols, while critically assessing the long-term applicability of these methods in linguistic research. This issue ultimately highlights the potential for remote methods to increase accessibility and safety for both participants and researchers, while also acknowledging the limitations and ethical concerns that arise from these new approaches. Together, these studies contribute to an evolving understanding of how data collection in linguistics can adapt to changing global conditions.

Linguistics VanguardVol. 10(s5)
Queen Mary University of London (GB), University of Amsterdam (NL)
Openalex Percentile: Top 66%
Data-Driven Disease Surveillance
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Getting “good” data in a pandemic, part 2: more tools in the toolbox — Matt Hunt Gardner, Viktorija Kostadinova · Linguistics Vanguard (2024) | TGRS Research Map | TGRS