# DataLad
**Wikidata**: [Q115117478](https://www.wikidata.org/wiki/Q115117478)  
**Source**: https://4ort.xyz/entity/datalad

## Summary
DataLad is a distributed system for managing code, data, and their relationships, built as a Python-based software tool. It integrates with Git and Git-annex to provide version control and data management capabilities, making it useful for collaborative research and data-intensive projects.

## Key Facts
- **Instance of**: Software
- **Programming language**: Python
- **Sponsor**: National Science Foundation
- **Website**: [https://www.datalad.org/](https://www.datalad.org/)
- **Source code repository**: [GitHub](https://github.com/datalad/datalad)
- **Depends on software**: Git and Git-annex
- **First version**: 0.0.3 (released on 2015-10-15)
- **Latest version (as of 2022)**: 0.6.0 (released on 2017-06-14)
- **Twitter handle**: @datalad (since 2014-09-26)

## FAQs
### Q: What is DataLad used for?
A: DataLad is used for managing datasets, code, and their relationships in a distributed manner, supporting collaborative research and data-intensive projects.

### Q: Who developed DataLad?
A: DataLad was developed with support from the National Science Foundation and is built using Python.

### Q: How does DataLad differ from Git?
A: While Git is primarily for version control of code, DataLad extends this functionality to manage datasets and their relationships, integrating with Git and Git-annex.

### Q: What is the latest version of DataLad?
A: The latest version as of the provided data is 0.6.0, released on June 14, 2017.

### Q: Where can I find DataLad's source code?
A: The source code is available on GitHub at [https://github.com/datalad/datalad](https://github.com/datalad/datalad).

## Why It Matters
DataLad addresses the challenges of managing large datasets and their relationships with code in collaborative research environments. By integrating with Git and Git-annex, it provides a robust framework for version control and data management, ensuring reproducibility and accessibility. Its distributed nature allows researchers to work across different locations while maintaining consistency. Sponsored by the National Science Foundation, DataLad has become a valuable tool for open science, enabling better data sharing and collaboration. Its Python-based architecture makes it accessible to developers and researchers familiar with the language, while its modular design allows for customization and extension.

## Notable For
- **Integration with Git and Git-annex**: Combines version control with data management capabilities.
- **Open-source development**: Hosted on GitHub, encouraging community contributions.
- **Support from the National Science Foundation**: Reflects its significance in research and open science.
- **Python-based architecture**: Leverages a widely used programming language for accessibility.
- **Distributed system design**: Facilitates collaboration across different locations.

## Body
### Overview
DataLad is a software tool designed for managing datasets, code, and their relationships in a distributed manner. It is built using Python and integrates with Git and Git-annex, providing version control and data management capabilities. The project is sponsored by the National Science Foundation and has an active presence on GitHub, where its source code is hosted.

### Development and Releases
DataLad's development began with the release of version 0.0.3 on October 15, 2015. Subsequent versions were released at regular intervals, with the latest version as of the provided data being 0.6.0, released on June 14, 2017. Each release includes updates and improvements to the software's functionality.

### Features and Functionality
DataLad is notable for its integration with Git and Git-annex, which allows it to manage datasets alongside code. This combination provides a robust framework for version control and data management, making it suitable for collaborative research projects. The software's Python-based architecture ensures accessibility and compatibility with existing tools and workflows.

### Community and Support
DataLad has a presence on Twitter, with the handle @datalad since September 26, 2014. The project's website, [https://www.datalad.org/](https://www.datalad.org/), serves as a resource for users and developers. The National Science Foundation's support reflects the project's significance in the field of open science and collaborative research.

## References

1. [Release 0.0.3. 2015](https://github.com/datalad/datalad/releases/tag/0.0.3)
2. [Release 0.0.4. 2015](https://github.com/datalad/datalad/releases/tag/0.0.4)
3. [Release 0.1. 2015](https://github.com/datalad/datalad/releases/tag/0.1)
4. [Release 0.3. 2016](https://github.com/datalad/datalad/releases/tag/0.3)
5. [Release 0.3.1. 2016](https://github.com/datalad/datalad/releases/tag/0.3.1)
6. [Release 0.4. 2016](https://github.com/datalad/datalad/releases/tag/0.4)
7. [Release 0.4.1. 2016](https://github.com/datalad/datalad/releases/tag/0.4.1)
8. [Release 0.5.0. 2017](https://github.com/datalad/datalad/releases/tag/0.5.0)
9. [Release 0.5.1. 2017](https://github.com/datalad/datalad/releases/tag/0.5.1)
10. [Release 0.6.0. 2017](https://github.com/datalad/datalad/releases/tag/0.6.0)
11. [Release 0.7.0. 2017](https://github.com/datalad/datalad/releases/tag/0.7.0)
12. [Release 0.8.0. 2017](https://github.com/datalad/datalad/releases/tag/0.8.0)
13. [Release 0.8.1. 2017](https://github.com/datalad/datalad/releases/tag/0.8.1)
14. [Release 0.9.0. 2017](https://github.com/datalad/datalad/releases/tag/0.9.0)
15. [Release 0.9.1. 2017](https://github.com/datalad/datalad/releases/tag/0.9.1)
16. [Release 0.9.2. 2018](https://github.com/datalad/datalad/releases/tag/0.9.2)
17. [Release 0.9.3. 2018](https://github.com/datalad/datalad/releases/tag/0.9.3)
18. [Release 0.10.0. 2018](https://github.com/datalad/datalad/releases/tag/0.10.0)
19. [Release 0.10.1. 2018](https://github.com/datalad/datalad/releases/tag/0.10.1)
20. [Release 0.10.2. 2018](https://github.com/datalad/datalad/releases/tag/0.10.2)
21. [Release 0.10.3. 2018](https://github.com/datalad/datalad/releases/tag/0.10.3)
22. [Release 0.10.3.1. 2018](https://github.com/datalad/datalad/releases/tag/0.10.3.1)
23. [Release 0.11.0. 2018](https://github.com/datalad/datalad/releases/tag/0.11.0)
24. [Release 0.11.1. 2018](https://github.com/datalad/datalad/releases/tag/0.11.1)
25. [Release 0.11.2. 2019](https://github.com/datalad/datalad/releases/tag/0.11.2)
26. [Release 0.11.3. 2019](https://github.com/datalad/datalad/releases/tag/0.11.3)
27. [Release 0.11.4. 2019](https://github.com/datalad/datalad/releases/tag/0.11.4)
28. [Release 0.11.5. 2019](https://github.com/datalad/datalad/releases/tag/0.11.5)
29. [Release 0.11.6. 2019](https://github.com/datalad/datalad/releases/tag/0.11.6)
30. [Release 0.11.7. 2019](https://github.com/datalad/datalad/releases/tag/0.11.7)
31. [Release 0.11.8. 2019](https://github.com/datalad/datalad/releases/tag/0.11.8)
32. [Release 0.12.0. 2020](https://github.com/datalad/datalad/releases/tag/0.12.0)
33. [Release 0.12.1. 2020](https://github.com/datalad/datalad/releases/tag/0.12.1)
34. [Release 0.12.2. 2020](https://github.com/datalad/datalad/releases/tag/0.12.2)
35. [Release 0.12.4. 2020](https://github.com/datalad/datalad/releases/tag/0.12.4)
36. [Release 0.12.5. 2020](https://github.com/datalad/datalad/releases/tag/0.12.5)
37. [Release 0.12.6. 2020](https://github.com/datalad/datalad/releases/tag/0.12.6)
38. [Release 0.12.7. 2020](https://github.com/datalad/datalad/releases/tag/0.12.7)
39. [Release 0.13.0. 2020](https://github.com/datalad/datalad/releases/tag/0.13.0)
40. [Release 0.13.1. 2020](https://github.com/datalad/datalad/releases/tag/0.13.1)
41. [Release 0.13.2. 2020](https://github.com/datalad/datalad/releases/tag/0.13.2)
42. [Release 0.13.3. 2020](https://github.com/datalad/datalad/releases/tag/0.13.3)
43. [Release 0.13.4. 2020](https://github.com/datalad/datalad/releases/tag/0.13.4)
44. [Release 0.13.5. 2020](https://github.com/datalad/datalad/releases/tag/0.13.5)
45. [Release 0.13.6. 2020](https://github.com/datalad/datalad/releases/tag/0.13.6)
46. [Release 0.13.7. 2021](https://github.com/datalad/datalad/releases/tag/0.13.7)
47. [Release 0.14.0. 2021](https://github.com/datalad/datalad/releases/tag/0.14.0)
48. [Release 0.14.1. 2021](https://github.com/datalad/datalad/releases/tag/0.14.1)
49. [Release 0.14.2. 2021](https://github.com/datalad/datalad/releases/tag/0.14.2)
50. [Release 0.14.3. 2021](https://github.com/datalad/datalad/releases/tag/0.14.3)