mreekie
commented
1 year ago Aim 5: Standardize usage metrics with the repository and across other repositories
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.
pdurbin
cmbz
NIH wants each repository to share dataset usage data for datasets that were funded by the NIH. The NIH wants to see how the datasets that they funded are being used and they want the reporting methodology and statistics to be done in in a standardized way across repositories.
The deliverable for this AIM is begin to provide the usage statistics for datasets funded by the NIH. The pre-requisites for this are the at we've agreed what we are collecting in a standard fashion with the other repositories and we have implemented the code to make the data collection happen.