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Implement Backend Support for Make Data Count use and citation metrics #4821
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Feel free to ask any questions DataCite staff can help with here. |
Here are some notes taken during a meeting on 2018-10-18: https://docs.google.com/document/d/1eM4rAuhmR4ZQxJC_PTE0rq2x7N3aNEjMN7QVvpkY1os/edit?usp=sharing |
We'll determine how these metrics appear on the page as #3404 moves through our design process, but there's an opportunity to get the backend pieces in place. Some proposed steps for discussion and estimation:
This will position us well for implementation once we have the designs further along and validated. |
I met @mbjones at Whole Tale Workshop on Tools and Approaches for Publishing Reproducible Research and he mentioned he'd be happy to field technical questions we have about DataONE's implementation of Make Data Count. Meanwhile, DataONE put out a blog post at https://www.dataone.org/news/new-usage-metrics that has some nice screenshots of a dataset at https://search.dataone.org/view/doi:10.5063/F1Z899CZ which I'll put below: |
Happy to help, @pdurbin. The time series graphs you cited were made much faster by caching results locally and then enabling group by at various levels of aggregation. The d3-charts we build and other visualizations are all part of our open source MetacatUI data portal frontend, so you might find some of that reusable. |
@mbjones thanks. Is there any reusable Java we might interested in as well? All, at standup today I said I was close to pushing some docs that capture my understanding of what we're trying to implement. These docs are in 4dd10bd but I'll add them as a screenshot below as well. I also stubbed out some API tests but nothing has been implemented yet. It's all just stubs. Feedback is welcome. |
Here's a to do list of tasks that are top of mind for me.
I also wanted to note that I set up a Jenkins job to build the guides from the branch I'm using to http://guides.dataverse.org/en/4821-make-data-count/admin/make-data-count.html I asked the Dataverse community for feedback at https://groups.google.com/d/msg/dataverse-community/rQWNllAyTu0/RMD0GEFzAgAJ |
We are waiting on a new api token to complete testing of this story. |
Turns it out was a dev box issue, not an api token (datacite/sashimi#56) . I was able to submit to the test box with our current api token, so this is unblocked. |
Make Data Count support: backend #4821
Following up on the google group discussion here: https://groups.google.com/forum/#!topic/dataverse-community/rQWNllAyTu0
Dataverse should support and display Make Data Count (https://makedatacount.org/) - standardized usage metrics
Slides and QA from recent (July 2018) webinar here:
https://makedatacount.org/presentations/
Here are detailed guidelines for implementation:
https://github.com/CDLUC3/Make-Data-Count/blob/master/getting-started.md
Here are steps to implement from the project from an earlier presentation
Process your usage logs following the MDC Code of Practice.
Read the documentation of the Data Usage API in order to prepare usage metrics reports.
- There is a small guide in: https://github.com/datacite/sashimi and
- Live API reference in https://support.datacite.org/v1.1/reference#metrics-api
Request DataCite for your credentials to push usage metrics to the Data Usage API.
Push your usage metrics.Thank you for contributing an issue to the Dataverse Project!
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