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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: 2021 Global Expert Survey by Teemu Koskimäki |
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Identification Number: |
doi:10.7910/DVN/67SFDQ |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2022-11-05 |
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Version: |
1 |
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Bibliographic Citation: |
Koskimaki, Teemu, 2022, "Replication Data for: 2021 Global Expert Survey by Teemu Koskimäki", https://doi.org/10.7910/DVN/67SFDQ, Harvard Dataverse, V1, UNF:6:Bh2/592t3J5GMVZfq8ylZg== [fileUNF] |
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Citation |
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Title: |
Replication Data for: 2021 Global Expert Survey by Teemu Koskimäki |
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Identification Number: |
doi:10.7910/DVN/67SFDQ |
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Authoring Entity: |
Koskimaki, Teemu (Australian National University) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Koskimaki, Teemu |
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Depositor: |
Koskimaki, Teemu |
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Date of Deposit: |
2022-11-05 |
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Holdings Information: |
https://doi.org/10.7910/DVN/67SFDQ |
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Study Scope |
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Keywords: |
Earth and Environmental Sciences, Social Sciences, Other |
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Abstract: |
Data collected in July 2021 through the Qualtrics online survey platform, after sending invites by email to the corresponding authors of publications addressing the sustainable development goals. This is the cleaned survey data with all identifying details removed. |
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Notes: |
The first data file includes all 461 rows, while the second file is delimited to 444 rows by removing those variable levels which had too small of a sample size for multinomial modelling. The following list specifies the variables with removed levels in brackets: Focus (Not), Gender (U), Academic.level (Other). The metadata table has details of the data variables. I also share supplementary tables of the countries and fields of expertise used in the survey and analyses. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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File Description--f6696160 |
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File: Supplementary_data_Country_list.tab |
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Notes: |
UNF:6:ZXR2OQiiXQq8RcVsd1orFw== |
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File Description--f6696161 |
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File: Supplementary_data_Expertise_list.tab |
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Notes: |
UNF:6:TpFwmB6UjFhQY/B3H5uN9w== |
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List of Variables: | |
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Variables |
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f6696160 Location: |
Variable Format: character Notes: UNF:6:dFR9SonRmzC2dOgomCLGaA== |
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f6696160 Location: |
Variable Format: character Notes: UNF:6:+xdDL6itCrJEQBsYumnC2A== |
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f6696160 Location: |
Variable Format: character Notes: UNF:6:zqa0+tXvDA7AOGEp4B0vHg== |
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f6696160 Location: |
Variable Format: character Notes: UNF:6:y79ZbZOz3EULiMKQqIdqvw== |
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f6696161 Location: |
Variable Format: character Notes: UNF:6:We9U8HPxgCI7a6oOeBEajg== |
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f6696161 Location: |
Variable Format: character Notes: UNF:6:r+rDTZOJmiJGfTy04iD67A== |
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f6696161 Location: |
Variable Format: character Notes: UNF:6:XSGOjTmzkCAtqa5DWdUEJQ== |
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Label: |
Expert_survey_data_444_TK_2021.xlsx |
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Text: |
Cleaned and delimited survey data used for multinomial modelling |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
Expert_survey_data_461_TK_2021.xlsx |
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Text: |
Cleaned survey data with all rows |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
Expert_survey_metadata_TK_2021.xlsx |
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Text: |
Variable descriptions |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |