Monitoring Voter Identification Regulations
In the realm of political science and public policy research, accessing specialised datasets can sometimes be a challenge. This is particularly true when it comes to Tom Barton's dataset on voter identification laws in 246 jurisdictions, as no direct links or locations have been found in search results or public data portals.
However, there are established methods to obtain such datasets. One approach is to identify the original research paper authored by Tom Barton that discusses the voter identification dataset. Researchers often share datasets as supplementary materials or upon request via their publication or personal/institutional webpages.
Another strategy is to reach out to Tom Barton directly, if contact information is available, requesting access to the dataset. This direct approach can be effective, especially given the unique nature of the dataset.
Additionally, searching data repositories common in political science or public policy research, such as ICPSR, Harvard Dataverse, or other open data platforms, using Tom Barton's name or relevant keywords could yield positive results.
The dataset, developed by Tom Barton at the University of London, offers valuable insights. It details the requirements for identification type and presentation in each of the 246 jurisdictions. Moreover, it indicates whether each jurisdiction has compulsory identification cards or voting. Furthermore, it provides information on the process of voter registration in each jurisdiction.
In essence, Tom Barton's dataset focuses on voter identification laws in various jurisdictions, offering a comprehensive and global perspective on this important topic.
[Image credit: Flickr user Ted Eytan]
- Researchers could obtain Tom Barton's dataset on voter identification laws by finding the original research paper, possibly located as supplementary materials or upon request on his publication or webpage.
- To access Tom Barton's dataset, one could explore data repositories popular in political science and public policy research such as ICPSR, Harvard Dataverse, or other open data platforms, using keywords related to his name and the dataset topic.
