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View: |
Part 1: Document Description
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Citation |
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Title: |
WFH_Pandemic |
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Identification Number: |
doi:10.7910/DVN/BDI7C8 |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2022-06-20 |
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Version: |
2 |
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Bibliographic Citation: |
Kevin H C Cheng, 2022, "WFH_Pandemic", https://doi.org/10.7910/DVN/BDI7C8, Harvard Dataverse, V2 |
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Citation |
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Title: |
WFH_Pandemic |
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Identification Number: |
doi:10.7910/DVN/BDI7C8 |
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Authoring Entity: |
Kevin H C Cheng (Birkbeck College, University of London) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Kevin H C Cheng |
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Depositor: |
Wo rk |
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Date of Deposit: |
2022-06-19 |
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Holdings Information: |
https://doi.org/10.7910/DVN/BDI7C8 |
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Study Scope |
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Keywords: |
Business and Management, remote work, lockdown, Europe, semantic network analysis |
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Abstract: |
This repository refers to interview data from four countries. This repository contains both the raw and data file used for semantic network analysis (in '.net'). |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
Access allowed after data is published in academic journal |
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Other Study Description Materials |
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Label: |
blank_CH.net |
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Notes: |
application/octet-stream |
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Label: |
blank_clean_CH.txt |
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Notes: |
text/plain |
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Label: |
blank_clean_DE.txt |
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Notes: |
text/plain |
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Label: |
blank_clean_IT.txt |
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Notes: |
text/plain |
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Label: |
blank_clean_UK.txt |
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Notes: |
text/plain |
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Label: |
blank_DE.net 2 |
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Notes: |
application/octet-stream |
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Label: |
blank_IT.net 3 |
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Notes: |
application/octet-stream |
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Label: |
blank_UK.net 4 |
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Notes: |
application/octet-stream |
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Label: |
semi-structured interview items.rtf |
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Notes: |
text/rtf |