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OpenDigger primarily produces CHAOSS and OpenRank metrics for open-source repositories. To gain better insights into open-source data, we need richer and multi-dimensional aggregation methods, such as obtaining metrics related to countries, enterprises, and technology fields. These metrics heavily depend on high-quality label data.
We want to collect label data across different dimensions (primarily enterprises, technology fields, and project groups) and store this data according to OpenDigger's format specifications in the OpenDigger repository, enabling subsequent metric production and open-source insights.
The text was updated successfully, but these errors were encountered:
Description
OpenDigger primarily produces CHAOSS and OpenRank metrics for open-source repositories. To gain better insights into open-source data, we need richer and multi-dimensional aggregation methods, such as obtaining metrics related to countries, enterprises, and technology fields. These metrics heavily depend on high-quality label data.
We want to collect label data across different dimensions (primarily enterprises, technology fields, and project groups) and store this data according to OpenDigger's format specifications in the OpenDigger repository, enabling subsequent metric production and open-source insights.
The text was updated successfully, but these errors were encountered: