Bibliographic data for gender and ethnicity analysis
Open this dataset in the live repository
- Persistent identifier
- doi:10.60507/FK2/XIFJHS
- Published version
- 1.0
- Publication date
- 2025-07-30
- License
- CC0 1.0
Description
This dataset contains bibliographic records extracted from peer-reviewed articles indexed in Web of Science (WoS), published between 2000 and 2021. The primary objective of this dataset is to investigate gender and ethnic disparities in research productivity within the field of land science. Key Analyses Conducted Disparity Assessment: Examined variations based on gender, ethnicity, and their intersectionality. Productivity Metrics: Evaluated whether gender, ethnicity, and their intersectionality have impact on scholarly productivity using two key indicators: Authorship position (first, middle, or last author) Citation rate per year This dataset enables researchers to explore systemic biases in academic publishing and assess how demographic factors influence visibility and impact in scholarly work
Creators
- Kamau, Hannah Nyakio
- Tran, Uyen Thi Thien
Keywords
Gender, Ethnicity
Files
| File | Type | Bytes | Checksum |
|---|---|---|---|
| all_raw.csv | text/csv | 1053743271 | MD5 9ce99bc7629259e579a0b3442a77566a |
| all_short.csv | text/csv | 518866181 | MD5 c5ae9986c79adf7a0a2513a5db6bce6a |
| Codebook.csv | text/csv | 4067 | MD5 aad40fabcefb9c577fa1b3b98039e694 |
| Readme.txt | text/plain | 4138 | MD5 857d06c1bad4310375316ff3d881bf25 |
Citation
Kamau, Hannah Nyakio; Tran, Uyen Thi Thien, 2025-07-30, Bibliographic data for gender and ethnicity analysis, doi:10.60507/FK2/XIFJHS, V1.0
Additional Dataverse fields
| Id | 438 |
|---|---|
| Dataset Type | dataset |
| Internal Version Number | 23 |
| Latest Version Publishing State | RELEASED |
| Deaccession Link | Not supplied |
| Production Date | 2021-05-25 |
| Release Time | 2025-07-30T09:05:46Z |
| Create Time | 2025-07-07T17:53:02Z |
| Citation Date | 2025-07-30 |
| File Access Request | True |
Export metadata
Static metadata exports available for this published dataset version:
Complete Dataverse metadata
Expected crawler behaviour
Use a stable, truthful User-Agent with product/version and a working contact URL. Across all IP addresses and HTTP connections used by one crawler identity, allow no more than 5 requests in flight and wait at least 20 seconds between request starts. Crawl URLs listed in the catalog sitemap, including file pages and download URLs when they are published, use conditional requests, honor Retry-After, and apply exponential backoff after errors.
The welcome page may link to the interactive repository for human navigation. Automated clients must not treat that human link as a catalog crawl target.
Read the live machine-readable crawler policy before and during a crawl. Stop crawling when it reports CPU or memory utilization at or above 80% and 80% respectively.
