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Video: How machine learning’s big data loop works
Of course, the CDLA is only a framework. It’s still more than we’ve had before. The CDLA is also data privacy agnostic. It relies on data publishers and curators to create their own governance structure around what data they curate and how. Each data producer or curator must work through various jurisdictional requirements and legal issues.
Why? Because the “CDLA is intended to be an agreement that can be used throughout the world. Since data may be licensed from data providers located in many countries, the CDLA Working Group opted not to specify a law or jurisdiction in favor of encouraging global adoption of the Agreement.”
Even without legal enforcement specifications, as Jim Zemlin, The Linux Foundation’s executive director, observed, “An open-data license is essential for the friction-less sharing of the data that powers both critical technologies and societal benefits. The success of open source software provides a powerful example of what can be accomplished when people come together around a resource and advance it for the common good. The CDLA licenses are a key step in that direction and will encourage the continued growth of applications and infrastructure.”
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