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Bubblbu / frictionless-metrics-in-context

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Research: Identify use case #10

Closed Bubblbu closed 3 years ago

Bubblbu commented 4 years ago

I've decided on three use cases and explore each in a jupyter notebook.

  1. Implementing a MiC Frictionless Package
  2. Comparing two different citation counts using Frictionless Package and the provenance schema
  3. Exploring the case of alternative scholarly metrics
Bubblbu commented 3 years ago

Prototype 1 | Basic Implementation

This is the first notebook providing an introduction to the need for provenance in scholarly metrics as well as Frictionless. The data used is provided by Scite.ai.

https://github.com/Bubblbu/metrics-in-context/blob/master/prototypes/1_scite/prototype_1_scite.ipynb

Bubblbu commented 3 years ago

Prototype 2 | Citation counts

Create a prototype of a description for Google Scholar and implement in Frictionless.

https://github.com/Bubblbu/metrics-in-context/blob/master/prototypes/2_comparing_two_counts/compare_citation_counts.ipynb

Bubblbu commented 3 years ago

Prototype 3 | Data citations

Update 21.07.2021: This showcase will not be included within the current project.