We use an Excel sheet with information about person contributors. For each contributor basic information as well as their different third-party identifiers are listed, hence it serves us as a correlation list.
We use this manually curated list in our data integration pipeline. The output of our data integration is among others a possibly updated list of person contributors.
The nationality is shown with labels for human consumption (e.g. Belgium or Netherlands). However, for automated processing we need country codes (in the correct notation #221 ). But those need to be integrated in our "loop": there should be a nationality country code column for person contributors.
We use an Excel sheet with information about person contributors. For each contributor basic information as well as their different third-party identifiers are listed, hence it serves us as a correlation list.
We use this manually curated list in our data integration pipeline. The output of our data integration is among others a possibly updated list of person contributors.
The nationality is shown with labels for human consumption (e.g.
BelgiumorNetherlands). However, for automated processing we need country codes (in the correct notation #221 ). But those need to be integrated in our "loop": there should be a nationality country code column for person contributors.