Automated Author Profile

Trisovic, Ana

Harvard University
0000-0003-1991-0533

Current S-Index

3.4

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.1

Average Dataset Index per dataset

Total Datasets

3

Total datasets for this author

Average FAIR Score

26.9%

Average FAIR Score per dataset

Total Citations

4

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Replication Data for: A large-scale study on research code quality and execution (Version: 4.0)

This is the accompanying dataset for the article "A large-scale study on research code quality and execution" by Ana Trisovic, Matthew K. Lau, Thomas Pasquier, and Mercè Crosas.</br><b>Abstract</b>: The article presents a study on the quality and execution of research code from publicly-available replication datasets at the Harvard Dataverse repository. Research code is typically created by a group of scientists and published together with academic papers to facilitate research transparency and reproducibility. For this study, we define ten questions to address aspects impacting research reproducibility and reuse. First, we retrieve and analyze more than 2000 replication datasets with over 9000 unique R files published from 2010 to 2020. Second, we execute the code in a clean runtime environment to assess its ease of reuse. Common coding errors were identified, and some of them were solved with automatic code cleaning to aid code execution. We find that 74% of R files failed to complete without error in the initial execution, while 56% failed when code cleaning was applied, showing that many errors can be prevented with good coding practices. We also analyze the replication datasets from journals' collections and discuss the impact of the journal policy strictness on the code re-execution rate. Finally, based on our results, we propose a set of recommendations for code dissemination aimed at researchers, journals, and repositories.

Authors

  • Trisovic, Ana
3 Citations0 Mentions15% FAIR1.6 Dataset Index
10.7910/dvn/uzlxszJanuary 2021

Replication Data for: Repository approaches to improving quality of shared data and code (Version: 4.1)

This is supplementary data to the article "Repository approaches to improving quality of shared data and code," and in particular, its first section on completeness of research code.</br>Run this code on Jupyter Binder here: <a href="https://mybinder.org/v2/dataverse/10.7910/DVN/EA3LC5/"><img src="https://mybinder.org/badge_logo.svg"></a>

Authors

  • Trisovic, Ana
0 Citations0 Mentions50% FAIR1.1 Dataset Index
10.7910/dvn/ea3lc5January 2020

Word cloud of Reproducibility and Replicability in Science (Version: 4.1)

This dataset contains data and code that created a figure for the article Toward Reproducible and Extensible Research: from Values to Action.</br>Run this code on Jupyter Binder here: <a href="https://mybinder.org/v2/dataverse/10.7910/DVN/HOLVXA/"><img src="https://mybinder.org/badge_logo.svg"></a>

Authors

  • Trisovic, Ana
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.7910/dvn/holvxaJanuary 2020