Can Open Source Licensing Be Applied to Data?
To date, attempts to apply the open source paradigm to the realm of data have been both problematic and unsuccessful.
Open source software has permeated the technology world in nearly every industry over the past decade. In fact, a majority of organizations today are using open source software in at least some capacity.
Open source software is software that users can access in source code form, without limitations on the scope of its use or whether it can be modified or redistributed in the future. There are numerous open source software licenses, each with their own compliance requirements.
The success of the open source model as applied to software has made many question if the same ideas could be applied in the area of data, especially as business across all sectors has become increasingly data-driven.
To date, however, attempts to apply the open source paradigm to the realm of data have been both problematic and unsuccessful. To learn why, register for PLI’s upcoming one-hour program, Beyond Open Data: The Only Good License is No License.
The session will cover a number of the most pressing topics relevant to the open source data question, including:
- Where data licensing stands today
- The current legal landscape that is presenting problems for open source software-style data licensing and preventing its success
- Real-world examples of problems that have arisen in data licensing, particularly with AI
- Some best practices for the use of licensed data, as well as for the release of that data
Register today to learn more about one of the biggest evolving issues in tech today.
