Automated Author ProfileSmith, Heidi A.
Smith, Heidi A.
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.1 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This data includes the dataset, code, and files used and created by the Duke University Data+ 2021 Rubenstein Library Card Catalog Team. Working with the digitized cards from the David M. Rubenstein Rare Book and Manuscript Library's physical card catalogs, our team explored the files as a way to further the library's initiative of finding and describing historically marginalized voices in their collections.We created a structured dataset using natural language processing and some manual editing, sorted by collection of items within the catalog and containing important metadata such as author, location, and date written from the OCRed text of the scanned cards. With the dataset we created, we analyzed what and who is present in these cards, and displayed these findings in Jupyter Notebook files. We explored the demographics of the authors and items cataloged, as well as analyzed how the information within the cards relates to the history of Duke University and delved into the common topics of the data. We completed spatial frequency mapping on the level of the United States and of North Carolina counties, in addition to visualizing the international countries present in the cards. There is copious rich information present in the files, and our Data+ project is just the tip of the iceberg. We hope that future research teams will continue to dissect the card files to gain insights into Duke's history and the contents of the library's collections.
Authors
- Smith, Heidi A. ;
- Garomsa, Biniam