"The Make Data Count project has provided an opportunity for repositories to standardize the usage metrics (e.g., number of views, downloads, and citations). There are still many inconsistencies in the way each generalist repositories (and domain-specific repositories) count these metrics, making it difficult to assess and compare the popularity of various datasets and give proper credit to data authors. Based on the Make Data Count initiative, we propose to provide full metrics on dataset usage for the Harvard Dataverse repositories and coordinate the implementation of the metrics with other repositories (e.g., Dryad, with which we have already been having conversations on this area) so the values and assumptions are comparable." (Source)
Overview
"The Make Data Count project has provided an opportunity for repositories to standardize the usage metrics (e.g., number of views, downloads, and citations). There are still many inconsistencies in the way each generalist repositories (and domain-specific repositories) count these metrics, making it difficult to assess and compare the popularity of various datasets and give proper credit to data authors. Based on the Make Data Count initiative, we propose to provide full metrics on dataset usage for the Harvard Dataverse repositories and coordinate the implementation of the metrics with other repositories (e.g., Dryad, with which we have already been having conversations on this area) so the values and assumptions are comparable." (Source)
Tasks
Issues and PRs
Completed Related Work
DataCite Resources