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📊 Data Science
The world runs on data. From social media to shopping online to healthcare to financial planning, data drives our interactions in the world. Access to greater amounts of data can create a flywheel of value creation; better data leads to better insights which leads to greater profits.
Unfortunately, today's data infrastructure is broken. Data lives in silos unable to interact with each other. Sharing data is difficult due to the difficulty of managing a hodgepodge of different methods for ownership and access control across many different service providers and applications. Data privacy problems also loom over data sharing; once it is duplicated, the owner loses control over their assets.
Ocean Protocol was created to build a better system for how we manage and share our data assets. It repurposes the standards created within crypto and DeFi to facilitate a new paradigm of self-custodial ownership and access control of our data assets. NFTs become a permissionless standard of ownership, ERC20s act as a permissionless standard for flexible access control rights, crypto wallets like metamask become a self-custodial holder of our assets.
Ocean's Compute-to-Data engine resolves the trade-off between the benefits of open data and data privacy risks. Using the engine, algorithms can be run on
Data scientists that prefer to use python can work with Ocean by using Ocean.py. Ocean.py is a python library that interacts with all Ocean contracts and tools. To get started with the library, check out our guides. They will teach installation and set-up and several popular workflows such as publishing an asset and starting a compute job.