Data Licensing Alliance
Democratizing Data through Technology
Our DLA marketplace will be live in the next few weeks.
Check back often. You’ll be browsing data sets in no time.
A Better Way to Make STEM Data Work
The world is driven by data – corporates, governments and other institutions are making data-driven decisions to solve everyday problems. Data science will play an ever-growing role in all our futures. At the heart of the world’s digital transformation are algorithms that need and run on data. The barriers to acquisition and dissemination of data from trusted sources is fraught with challenges, complexity and friction.
Our Solution
The Founders, with a clear understanding of the present challenges from decades of hands-on experience licensing data, and an insight into what is shaping the future of AI outcomes, created Data Licensing Alliance (DLA) to democratize data. We operate a marketplace for owners and buyers of STEM data needing to license data for artificial intelligence and machine learning (AI/ML) purposes.
We are removing key friction points in licensing data, thereby providing users an easy and cost effective way to access the needed foundational elements. Beyond licensing data, the DLA marketplace will provide a secure forum for communication within and between people and organizations to facilitate much-needed collaboration. This will enable and accelerate the next generation of services the world desperately needs. Our mission is simple - “A better way to make STEM data work”.
How it Works
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Search
After creating an account, you’ll be able to search and benefit from our qualified datasets.
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Buy
Search by field, category, types, or format and buy the dataset you need.
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Download
Have access to our large dataset content, download samples and sign agreements.
“In all of this, Data, the vital evidential output from research and experimentation, remains neglected. Data, marked up, richly enhanced with metadata and fully machine to machine interoperable remains a key challenge to everyone in scholarly communications. Published articles will only be a front end steering device to guide researchers more quickly to their core concerns – and those will eventually result in looking at the underlying data rather than the article.”
— David Warlock