Automated Author ProfileSilva, Nabson
Silva, Nabson
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 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Supplementary Material for the Paper Evaluating Strategies for Teaching Micro Frontends: Do Anti-patterns Help?The included documents are:consent_form.pdf: Consent form used to obtain participants' permission for data collection and analysis during the experiment.feedback_form.pdf: Feedback form completed by participants after the second assessment, including open-ended questions and responses based on the Technology Acceptance Model (TAM).participants_characterization_summary.pdf and characterization_form.pdf: Documents related to participant characterization. The characterization form collected data on participants’ prior experience and specialization areas, while the summary provides an overview of this information, used to balance the groups during the experiment.[1st to 5th]session_presentation.pdf: Presentations used during the teaching sessions:1st session: Fundamentals of microservices and their relation to MFEs.2nd session: Introduction to MFE concepts, benefits, challenges, and frontend integration.3rd session: Practical lab session implementing an MFE-based e-commerce architecture.4th session: Real-world MFE architecture examples and practitioner-provided guidelines.5th session: Anti-patterns in MFE.object_1_description.pdf and object_2_description.pdf: Detailed descriptions of the two assessment objects, an e-commerce and a digital bank, respectively.1st_assessment_object_1.pdf and 1st_assessment_object_2.pdf: Materials used for the first assessment, where each group analyzed one of the objects.2nd_assessment_object_1.pdf and 2nd_assessment_object_2.pdf: Materials used for the second assessment, where groups switched objects.perceived_learning_scores.pdf: Contains participants' self-assessed learning scores before and after using the catalog.assessment_scores.pdf: Includes scores from the assessments conducted during the experiment.results*: Results from the qualitative analysis using Grounded Theory Procedures (open and axial coding):results_open_coding.pdf: Document summarizing the open coding of participants’ feedback, including open codes and quotes.results_axial_identify_problems.png: Image with the codes and their relations to create the "Identify problems and solutions" category.results_axial_reinforce.png: Image with the codes and their relations to create the "Support efficient and structured search for MFE problems" category.results_axial_support.png: Image with the codes and their relations to create the "Reinforce and deepen MFE knowledge" category.The supplementary material in this archive is intended to ensure transparency and provide valuable resources for educators interested in incorporating MFE concepts into their curricula.
Authors
- Silva, Nabson ;
- Rodrigues de Souza, Eriky ;
- Conte, Tayana
Supplementary Material for the Paper Evaluating Strategies for Teaching Micro Frontends: Do Anti-patterns Help?The included documents are:consent_form.pdf: Consent form used to obtain participants' permission for data collection and analysis during the experiment.feedback_form.pdf: Feedback form completed by participants after the second assessment, including open-ended questions and responses based on the Technology Acceptance Model (TAM).participants_characterization_summary.pdf and characterization_form.pdf: Documents related to participant characterization. The characterization form collected data on participants’ prior experience and specialization areas, while the summary provides an overview of this information, used to balance the groups during the experiment.[1st to 5th]session_presentation.pdf: Presentations used during the teaching sessions:1st session: Fundamentals of microservices and their relation to MFEs.2nd session: Introduction to MFE concepts, benefits, challenges, and frontend integration.3rd session: Practical lab session implementing an MFE-based e-commerce architecture.4th session: Real-world MFE architecture examples and practitioner-provided guidelines.5th session: Anti-patterns in MFE.object_1_description.pdf and object_2_description.pdf: Detailed descriptions of the two assessment objects, an e-commerce and a digital bank, respectively.1st_assessment_object_1.pdf and 1st_assessment_object_2.pdf: Materials used for the first assessment, where each group analyzed one of the objects.2nd_assessment_object_1.pdf and 2nd_assessment_object_2.pdf: Materials used for the second assessment, where groups switched objects.perceived_learning_scores.pdf: Contains participants' self-assessed learning scores before and after using the catalog.assessment_scores.pdf: Includes scores from the assessments conducted during the experiment.results*: Results from the qualitative analysis using Grounded Theory Procedures (open and axial coding):results_open_coding.pdf: Document summarizing the open coding of participants’ feedback, including open codes and quotes.results_axial_identify_problems.png: Image with the codes and their relations to create the "Identify problems and solutions" category.results_axial_reinforce.png: Image with the codes and their relations to create the "Support efficient and structured search for MFE problems" category.results_axial_support.png: Image with the codes and their relations to create the "Reinforce and deepen MFE knowledge" category.The supplementary material in this archive is intended to ensure transparency and provide valuable resources for educators interested in incorporating MFE concepts into their curricula.
Authors
- Silva, Nabson ;
- Rodrigues de Souza, Eriky ;
- Conte, Tayana