Automated Author ProfileMudaranthakam, Dinesh Pal
The University of Kansas Cancer CenterUniversity of Kansas Medical Center
Mudaranthakam, Dinesh Pal
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: 2.2 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Data used to determine patient eligibility for cancer clinical trials often come from disparate sources that are typically maintained by different groups within an institution, use differing technologies, and are stored in different formats. Collecting data and resolving inconsistencies across sources increase the time it takes to screen eligible patients, potentially delaying study completion. To address these challenges, the Biostatistics and Informatics Shared Resource at The University of Kansas Cancer Center developed the Cancer Curated Clinical Outcomes Database (C3OD). C3OD merges data from the electronic medical record (EMR), tumor registry, bio-specimen and data registry, and allows querying through a single unified platform. By centralizing access and maintaining appropriate controls, C3OD allows researchers to more rapidly obtain detailed information about each patient in order to accelerate eligibility screening. This paper describes the design of this informatics platform as well as initial assessments of its reliability and usability.
Authors
- Mudaranthakam, Dinesh Pal ;
- Thompson, Jeffery ;
- Hu, Jinxiang ;
- Pei, Dong ;
- Chintala, Shanthan Reddy ;
- Park, Michele ;
- Fridley, Brooke ;
- Gajewski, Byron ;
- Koestler, Devin ;
- Mayo, Matthew ;
- Thompson, Jeffrey ;
- Koestler, Devin C ;
- Mayo, Matthew S ;
- Fridley, Brooke L