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SS010

Gender and ethnic diversity of members of US university natural resource program external advisory board members, 2017-2022

  • Creator(s): Claire Rapp, Michael P. Nelson, Lucia Cook Hadella
  • PI(s): Michael P. Nelson
  • Originator(s): Claire Rapp, Ivan Arismendi, Michael P. Nelson, Lucia Cook Hadella
  • Other researcher(s): Ivan Arismendi
  • Dates of data preparation: Jan 2 2017 - Sep 30 2022
  • Data collection status: Study collection is completed and no new collection is planned
  • Data access: Online
  • DOI: https://doi.org/10.6073/pasta/03c9519fe0dbd918ddd9329127a8fa4d
  • Last update: Nov 30 2022 (Version 2)
<Citation>     <Acknowledgement>     <Disclaimer>    
Rapp, C.; Nelson, M.; Hadella, L. 2022. Gender and ethnic diversity of members of US university natural resource program external advisory board members, 2017-2022. Long-Term Ecological Research. Forest Science Data Bank, Corvallis, OR. [Database]. Available: http://andlter.forestry.oregonstate.edu/data/abstract.aspx?dbcode=SS010. https://doi.org/10.6073/pasta/03c9519fe0dbd918ddd9329127a8fa4d. Accessed 2024-10-03.
Data were provided by the HJ Andrews Experimental Forest research program, funded by the National Science Foundation's Long-Term Ecological Research Program (DEB 2025755), US Forest Service Pacific Northwest Research Station, and Oregon State University.
While substantial efforts are made to ensure the accuracy of data and documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is". The Andrews LTER shall not be liable for damages resulting from any use or misinterpretation of data sets.
ABSTRACT:
This dataset contains deidentified demographics information for the members of external advisory boards that serve university natural resource programs. Data collected in 2017 and 2022 represents a sample of land-grant, National Association of University Forestry Program-affiliated, TIMES-ranked universities and colleges. Each row represents a member of an advisory board. Data collection was completed in two years: 2017 and 2022. Data was collected from department webpages and lists of advisory board members provided by department personnel. As needed, information was augmented through internet searches for public LinkedIn pages, organizational pages, local news stories, etc. Data include a unique respondent ID, a code for the university they are from, their employer affiliation (e.g., NGO, federal government, NR business, etc.) and their gender and ethnicity measured as binary variables.

Study Description Download Study Location Information: (CSV)
Ecological Metadata Language: (EML)
ENTITY TITLES:
1Demographic data for university natural resources program advisory board's members (Jan 2 2017 - Sep 30 2022)METADATADATA
Contains deidentified demographics information for the members of external advisory boards that serve university natural resource programs