Automated Author ProfileSteadman, Sarah
Steadman, Sarah
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: 0.6 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The Practices and Partnerships Post-doctoral fellowship at King’s College London examined teacher learning and professional development in initial teacher education programmes. Original plans for the project were impacted by COVID-19 and, as such, the final scope of the research is smaller than planned. The project involved capturing data on the experience of Primary trainee teachers and Primary ITT staff in the form of online questionnaires. In addition, interviews were conducted with three early career teachers who had previously contributed to the researcher’s doctoral research as trainee teachers. The findings explore the lived experience of learning to teach and preparing teachers, with particular reflections on the impact of the global pandemic.
Authors
- Steadman, Sarah