# dataverse-r-study

> Data and code for a large-scale study on research code quality and execution at Harvard Dataverse.

**Wikidata**: [Q127485519](https://www.wikidata.org/wiki/Q127485519)  
**Source**: https://4ort.xyz/entity/dataverse-r-study

## Summary
**dataverse-r-study** is a dataset and code repository for a large-scale study on research code quality and execution, hosted at Harvard Dataverse. It provides open-access data and scripts to analyze the reproducibility and execution of research software, particularly in R.

## Key Facts
- **License**: Distributed under the MIT License, allowing free use, modification, and distribution.
- **Instance of**: Software and free software, as defined by open-source principles.
- **Source**: Replication data for a study on research code quality and execution.
- **Repository**: Code and data are available on GitHub at [https://github.com/atrisovic/dataverse-r-study](https://github.com/atrisovic/dataverse-r-study).
- **Language**: Primarily focused on R, a statistical computing language.
- **Host**: Published on Harvard Dataverse, a data repository for research data.

## FAQs
### Q: What is the purpose of dataverse-r-study?
A: It provides data and code to replicate a study on research code quality and execution, particularly in R, to promote reproducibility in computational research.

### Q: Who can use the data and code from dataverse-r-study?
A: The data and code are freely available under the MIT License, allowing anyone to use, modify, and distribute them.

### Q: Where can I access the dataverse-r-study repository?
A: The source code and data are hosted on GitHub at [https://github.com/atrisovic/dataverse-r-study](https://github.com/atrisovic/dataverse-r-study).

### Q: Is dataverse-r-study related to open-source software?
A: Yes, it is classified as both software and free software, adhering to open-source principles.

### Q: What programming language is dataverse-r-study focused on?
A: The study primarily focuses on R, a widely used statistical computing language.

## Why It Matters
The **dataverse-r-study** dataset and code are significant for advancing research reproducibility. By providing a structured approach to analyzing research code quality and execution, it helps researchers and developers improve the reliability and transparency of computational work. The study’s open-access nature encourages collaboration and validation, making it a valuable resource for the academic community. Additionally, its focus on R, a key language in data science and statistics, ensures broad applicability. By addressing the challenges of code reproducibility, this project contributes to more trustworthy and verifiable research outcomes.

## Notable For
- **Open-access replication data**: Provides a transparent and reusable dataset for studying research code execution.
- **Focus on R**: Specializes in analyzing code quality in R, a critical tool for statistical and data-driven research.
- **MIT License**: Ensures broad usability and modification rights for users.
- **Harvard Dataverse hosting**: Leverages a reputable repository for long-term data preservation.
- **GitHub repository**: Offers direct access to the source code and data for further analysis.

## Body
### Overview
**dataverse-r-study** is a dataset and code repository for a large-scale study on research code quality and execution. It is hosted on Harvard Dataverse and GitHub, providing open-access resources for researchers and developers.

### License and Accessibility
The project is distributed under the **MIT License**, which allows for free use, modification, and distribution. This ensures broad accessibility and compliance with open-source principles.

### Technical Focus
The study primarily focuses on **R**, a statistical computing language widely used in research. The dataset includes replication data for analyzing code execution and quality.

### Hosting and Availability
- **Harvard Dataverse**: The primary repository for the study’s data.
- **GitHub**: The source code and additional resources are available at [https://github.com/atrisovic/dataverse-r-study](https://github.com/atrisovic/dataverse-r-study).

### Classification
- **Software**: The project is classified as software, as it includes executable components.
- **Free Software**: It adheres to open-source principles, allowing users to freely run, study, change, and distribute the code.

### Significance
The study contributes to research reproducibility by providing tools and data for evaluating research code quality. Its open-access nature supports collaborative efforts in computational research.