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This repo is a catalog of S-index project outputs: code repositories, released datasets, and materials needed to reproduce results. We will keep this updated as we keep working on this project.
Python code and Jupyter notebooks developed to collect dataset metadata, calculate FAIR scores, find citations, identify mentions, assign research field, and calculate S-index for our large scale testing with 49M+ datasets (and counting). A summary of the results is also included.
Dataset metadata, FAIR scores, citations, mentions, and research field data collected/generated during our real world testing and validation of the S-index (NDJON format files)
A DuckDB database file with all the data collected plus Dataset Index and S-index calculated as part of our real world validation. This database is needed for the real world analysis Jupyter notebook.