The purpose of having a standardized naming convention is to provide an organized framework for the datasets, ensuring interoperability between users and platforms. (See below for Naming Convention for Information Products)
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Two sets of population data for a particular country, one has the population for major cities and the other population data for small towns. The data for major cities are labeled with a “1” and the data for small towns are labeled with a “2”.
- Dataset 1: Major cities in Burundi from Government of Burundi at 1:1M scale
- Dataset 2: Cities in Burundi from Government of Burundi at 1:M scale
Dataset Names (interim solution):
- Dataset 1: bdi_pplp1_1m_gov
- Dataset 2: bdi_pplp2_1m_gov
Feature Class Name (long term solution):
- Combine the two feature classes to 1 using guidance from Verifying Geometry. The resulting label would be: bdi_pplp_1m_gov.
Special Case 2: Data do not span an entire country or region
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Datasets not covering an entire country:
- Dataset 1: IDP Camps in Aceh, Indonesia
- Dataset 2: IDP Camps Afgooye Cooridor, Somalia
Resulting Dataset Names:
- Dataset 1: idn_aceh_cmpp_idp_1m_unhcr
- Dataset 2: som_afgooye_cmpp_idp_1m_unhcr
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