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Dryad

Data for: Widespread support for a global species list with a formal governance system

Cite this dataset

Lien, Aaron (2022). Data for: Widespread support for a global species list with a formal governance system [Dataset]. Dryad. https://doi.org/10.5061/dryad.msbcc2g2t

Abstract

This spreadsheet provides all cleaned and validated data used in the analysis of the GSLWG survey to gather opinions about the governance of taxonomic lists. Data are anonymous. Interpertations of variables are available in a separate codebook file, also available on Dryad and associated with this manuscript.

In addition to raw survey data, additional supplemental data are provided:

1. Coding manual providing definitions for each variable included in the survey dataset in .csv format

2. The data analysis code in Stata .do format and PDF format

3. The survey instrument in several languages in PDF format

4. A detailed description of the survey methodology and data analysis approach in PDF format

5. The full results of the survey in tabular form

6. Additional figures presenting survey results

All data are also available on the website of the Open Science Framework (OSF), along with survey pre-registration data: https://osf.io/tz7ra/?view_only=4b1bc810ef794f7f9bb57240611989af

Methods

Data was collected using an online survey of taxonomists, other types of scientists, and users of taxonomic information. It was processed to clean data for analysis according to the standards recorded in the survey codebook, which is also availalbe on Dryad and associated with this manuscript. Data cleaning was performed using Stata. Full information about survey methods are availalbe in the accompanying article and the survey methods supplemental data also availalbe on Dryad. This survey was pre-registered with the Open Science Framework with a full description of survey development, implementation, and analysis methods: https://osf.io/tz7ra/?view_only=4b1bc810ef794f7f9bb57240611989af

Usage notes

Data is provided in .csv format, which requires software capable of reading .csv files. Other files are provided in .csv or PDF format.

Funding

International Union of Biological Sciences

Australian Research Council, Award: DP230102933