Life science experiments generate an immense and exponentially increasing amount of data.
The year 2003 marks the conclusion of the world’s largest collaborative biological project – we’ve succeeded in reading the human genome. Since then it has become significantly cheaper to gather DNA data, resulting in quick exponential growth of its volume. But how do we handle all this acquired data? How do we make sure it stays findable, accessible, interoperable and reusable?