Automated Author ProfileLe, Thi Phuong Linh
0000-0003-3308-2009
Le, Thi Phuong Linh
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 3.8 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This data was generated in an online survey with Polish migrant essential workers (PMEW) living in the United Kingdom (UK) during the Covid-19 pandemic. It consists of two datasets. The first dataset - which we called ‘PMEW Clickers’ - contains data for all survey participants (observations: 2,061; variables: 115), while the second dataset contains only valid responses, that is responses from participants who answered at least 60% of the core survey questions (observations: 1,105; variables: 113), and we called it ‘PMEW Respondents’.The survey fieldwork was conducted online during the Covid-19 pandemic between 22 February and 12 April 2021, following the third UK-wide Covid-19 lockdown. The responses were collected using a standardised questionnaire published in two languages: Polish and English. The survey relied on a variety of non-probability and convenience sampling techniques suitable to recruit so called ‘hard-to-reach’ populations. The largest part of responses - two thirds - came from participants recruited via a dedicated Facebook advertisement campaign targeting Polish migrants in the UK who were active users of the Facebook social media at that time.The broad aim of the survey was to find out which spheres of life of PMEW were affected most by the pandemic, that is since March 2020. Overall, the survey was divided into 10 thematic blocks of questions and consisted of 40 questions. The questionnaire covered such topics as: employment situation and work experiences during the pandemic, health impacts of Covid-19 pandemic, household and caring responsibilities, economic impacts of the Covid-19 pandemic, migration status and stay plans and demographic profile (gender, age, migration legal status, length of residency, education, income). The online nature of the survey allowed us to collect additional passive data improving data usability. For example, variables generated through passive data collection recorded where our respondents came from (Facebook ads, project website, partner organisation help), which Facebook ad they clicked on to access the survey, or what was the language – Polish or English – of the questionnaire they filled in.This data repository includes a detailed methodological report (PMEW Technical report) presenting the survey design and post-fieldwork data preparation, two codebooks overviewing both datasets and questionnaires in two languages - all files were saved in a variety of commonly used and open formats. The datasets were saved in SPSS *.sav format, which can be imported to a number of statistical programmes, and as an open data format *.csv file.The research received ethical approval from the University of Glasgow (400200070) and the University of Sheffield (037633).Please read the README file in the linked metadata record for a more detailed description of the content of this repository.
Authors
- Piekut, Aneta ;
- Gawlewicz, Anna ;
- Narkowicz, Kasia ;
- Wright, Sharon ;
- Trevena, Paulina ;
- Le, Thi Phuong Linh
This data was generated in an online survey with Polish migrant essential workers (PMEW) living in the United Kingdom (UK) during the Covid-19 pandemic. It consists of two datasets. The first dataset - which we called ‘PMEW Clickers’ - contains data for all survey participants (observations: 2,061; variables:115), while the second dataset contains only valid responses, that is responses from participants who answered at least 60% of the core survey questions (observations: 1,105; variables: 113), and we called it ‘PMEW Respondents’.The survey fieldwork was conducted online during the Covid-19 pandemic between 22 February and 12 April 2021, following the third UK-wide Covid-19 lockdown. The responses were collected using a standardised questionnaire published in two languages: Polish and English. The survey relied on a variety of non-probability and convenience sampling techniques suitable to recruit so called ‘hard-to reach’ populations. The largest part of responses - two thirds - came from participants recruited via a dedicated Facebook advertisement campaign targeting Polish migrants in the UK who were active users of the Facebook social media at that time.The broad aim of the survey was to find out which spheres of life of PMEW were affected most by the pandemic, that is since March 2020. Overall, the survey was divided into 10 thematic blocks of questions and consisted of 40 questions. The questionnaire covered such topics as: employment situation and work experiences during the pandemic, health impacts of Covid-19 pandemic, household and caring responsibilities, economic impacts of the Covid-19 pandemic, migration status and stay plans and demographic profile (gender, age, migration legal status, length of residency, education, income). The online nature of the survey allowed us to collect additional passive data improving data usability. For example, variables generated through passive data collection recorded where our respondents came from (Facebook ads, project website, partner organisation help), which Facebook ad they clicked on to access the survey, or what was the language – Polish or English – of the questionnaire they filled in.This data repository includes a detailed methodological report (PMEW Technical report) presenting the survey design and post-fieldwork data preparation, two codebooks overviewing both datasets and questionnaires in two languages - all files were saved in a variety of commonly used and open formats. The datasets were saved in SPSS *.sav format which can be imported to a number of statistical programmes and as an open data format .csv file with variables label.The research received ethical approval from the University of Glasgow (400200070) and the University of Sheffield (037633).Please read the README file in the linked metadata record for a more detailed description of the content of this repository.
Authors
- Piekut, Aneta ;
- Gawlewicz, Anna ;
- Narkowicz, Kasia ;
- Wright, Sharon ;
- Trevena, Paulina ;
- Le, Thi Phuong Linh
This data was generated in an online survey with Polish migrant essential workers (PMEW) living in the United Kingdom (UK) during the Covid-19 pandemic. It consists of two datasets. The first dataset - which we called ‘PMEW Clickers’ - contains data for all survey participants (observations: 2,061; variables: 115), while the second dataset contains only valid responses, that is responses from participants who answered at least 60% of the core survey questions (observations: 1,105; variables: 113), and we called it ‘PMEW Respondents’.The survey fieldwork was conducted online during the Covid-19 pandemic between 22 February and 12 April 2021, following the third UK-wide Covid-19 lockdown. The responses were collected using a standardised questionnaire published in two languages: Polish and English. The survey relied on a variety of non-probability and convenience sampling techniques suitable to recruit so called ‘hard-to-reach’ populations. The largest part of responses - two thirds - came from participants recruited via a dedicated Facebook advertisement campaign targeting Polish migrants in the UK who were active users of the Facebook social media at that time.The broad aim of the survey was to find out which spheres of life of PMEW were affected most by the pandemic, that is since March 2020. Overall, the survey was divided into 10 thematic blocks of questions and consisted of 40 questions. The questionnaire covered such topics as: employment situation and work experiences during the pandemic, health impacts of Covid-19 pandemic, household and caring responsibilities, economic impacts of the Covid-19 pandemic, migration status and stay plans and demographic profile (gender, age, migration legal status, length of residency, education, income). The online nature of the survey allowed us to collect additional passive data improving data usability. For example, variables generated through passive data collection recorded where our respondents came from (Facebook ads, project website, partner organisation help), which Facebook ad they clicked on to access the survey, or what was the language – Polish or English – of the questionnaire they filled in.This data repository includes a detailed methodological report (PMEW Technical report) presenting the survey design and post-fieldwork data preparation, two codebooks overviewing both datasets and questionnaires in two languages - all files were saved in a variety of commonly used and open formats. The datasets were saved in SPSS *.sav format, which can be imported to a number of statistical programmes, and as an open data format *.csv file.The research received ethical approval from the University of Glasgow (400200070) and the University of Sheffield (037633).Please read the README file in the linked metadata record for a more detailed description of the content of this repository.
Authors
- Piekut, Aneta ;
- Gawlewicz, Anna ;
- Narkowicz, Kasia ;
- Wright, Sharon ;
- Trevena, Paulina ;
- Le, Thi Phuong Linh