So WikiTree has a database of locations and dates. Are you claiming that this information is not accurate? Are you saying that a locations database can't be created from the existing data that WikiTree has? This doesn't sound right to me.
You are correct that WikiTree has an existing database of locations and dates. However, the issue at hand isn't the existence of the database, but rather the accuracy and reliability of the data it contains. The current databases on are primarily based on user-provided data. This user-generated nature means that the information can only be as accurate as the data entered by individual contributors.
For example, if a user enters "XXX" into a location field, the database now includes "XXX" as a location. Clearly, this does not correspond to a recognized geographic location. So, while the data in our current databases is invaluable, it isn't inherently verified or standardized.
While it is technically feasible to create a more accurate database using the existing data as a starting point, doing so would involve complexities and resources that extend beyond simple data aggregation.
What resources are needed and what is the cost?
Let's tackle this question from another perspective:
Numerous well-funded and well-staffed projects such as Pleiades, the Getty Thesaurus of Geographic Names (TGN), China Historical GIS (CHGIS), and the European Holocaust Research Infrastructure (EHRI) have attempted to create comprehensive databases or digital archives. These projects, albeit on a much smaller scale than a global historical place name database covering all of Anno Domini, still encounter significant logistical, technological, and financial hurdles.
These initiatives often have the backing of major academic institutions, international organizations, or significant grant funding. Despite these advantages, they face ongoing challenges in data accuracy, technological adaptation, and sustainable funding.
Regarding financial considerations, the initial development and continuous updating of such a database would require a substantial financial outlay. Projects funded by entities like the National Endowment for the Humanities (NEH) often receive grants ranging from $50,000 to $300,000 per project phase. Larger or more complex projects might secure more substantial funding, especially when spread across multiple grant cycles.
Given these precedents, the resources needed for a global historical place name database would be considerable, encompassing not just financial investment but also extensive expertise, time, and sustained collaborative efforts.